Complete SDLC : Software Development Life Cycle SDLC (2026)

Welcome to my Complete Software development Project management course , in this section we are going to understand basics of software development, What exactly software development means. we will see is software development == coding is this really true in todays world

then we will get into what is project management and what are the important responsibilities of IT project mgmt.

we will try to understand the difference between Software development and software engineering.

the best and most interesting part of this section is HOW the software project or start up ideas emerges and converted to software projects.

how the vendor ,or third party services companies are selected for projects and how the person like you and me get the real life projects to work upon in our IT companies.

so in this section We'll start our journey by looking at the pre-SDLC (Software Development Life Cycle) activities that happen behind the scenes. This is where the real magic of software development begins.

So, let's get started and embark on this exciting journey together!

Software development is the field which is high in demand.

Now a days every business if you see is a software business in some angle, if you are agree with me on this fact then you can think of how big software development going to become in the future. How much scope it will going to have, its immense.

so let us understand and define what is software development is

when it comes to software development many people till today ,just think of software development is about coding or programming that's it.

for them software development == coding that's all

that answer from them is quite obvious as well because there is very less information available in the public domain which actually depicts what is going on in real practical software development IT world.

There are some handful of movies which are build around software's evolution are mainly focusing on how some one has interest in programming ,build the product out of it and over the time how it has captured and spread over the world. They will never expose the process carried out from inception to completion and Post completion process of that product. and hence this is quite common information which people are having which is making them believing that software development means coding.

but understand that software development is much more than coding and programming :

it starts with understanding the problem that software is intended to solve.

and then Proposing the solution which will address the problem efficiently and effectively, so on higher note if i want to tell you what software development is then i will say software development is about **problem solving and automating the work.

it is also well said** "Software development is a cooperative game played between human and computer." - Grady Booch

it mean that human provides creativity, logic, and strategy for problem solving while the computer provides the processing power and technical capabilities to execute the code.

Software development starts with gathering the detail requirements, g those, then designing the solution from scratch ,working on it and bringing it to the life, then testing it for proper functioning then making it available for users via the process of release and deployment and post that it also includes the ongoing maintenance support.

It is not limited to just one language, tools and frameworks. It's a multidisciplinary field that draws on a variety of skills and knowledge from different areas such as mathematics, computer science, and engineering.

software development is a complex process under which different types and skills of people work together, in collaboration ,harmony and synergy to solve the problem and finally make and deliver the working product.

The thing which make this software development process more Challenging is Change,

It is said that only thing which is constant in this world is change and it is very much applicable to software development process. since technology and market is changing rapidly the requirements will change so the process of software development needs to adapt, despite of these change we need to develop the product that is relevant to the current market.

so software development is the challenging process and to manage it effectively another skill will come into picture that is Efficient Project management which we will going to cover in the next session.

I hope in this session you would have got fair understanding of what is software development is.

see you in the next session.

The purpose of this session is to clarify the concept of software engineering

then let me be very frank with you , what ever we have seen in the software development session that is similar to software engineering.

initially you can say

software engineering is the outer layer and software development & project mgmt is the inner subset of it, but now software development is becoming synonym of software engineering.

so let me define it for you then you can understand it well

So Software engineering is the process of designing, creating, testing, and maintaining software. It is a systematic and disciplined approach to the development, operation, and maintenance of software.

This includes the use of technologies and practices such as software design, programming, version control, testing, and project management. Additionally, software engineering also includes various methodologies and frameworks, such as Agile, Waterfall, Scrum, DevOps and more, to manage and organize the development process.

All of these activities are interrelated and are typically performed by a team of software engineers, who may specialize in different areas such as requirements analysis, design, testing, and maintenance.

Ultimately, the goal of software engineering is to create software that is reliable, efficient, easy to use, and that meets the needs of its users. It also aims to make the development process as efficient as possible, minimizing costs and minimizing the time to market.

so almost you can say in this course we are going to learn software engineering in detail as well, no problem in saying that.

In the previous session we have seen what makes the software development challenging is the Changing requirements. in the software field we can not tell that we will not entertain change. So you have to stay agile at the same time, more cautious of accommodating the changes ,because every change has potential of rework for the team, and we have a team to manage. and this make this process of software development chaotic and complex. To manage this properly we need the efficient and effective Project management via which we will address the changing requirements as well as not let our team burnt out.

if this is very clear to you then let us now understand what is software project management is in detail

so Software project management is the This includes managing the project's scope, schedule, and budget, as well as ensuring that the software meets the needs of the stakeholders and end-users.

"Project management is like juggling three balls. The first is scope, the second is cost, and the third is time. You can’t drop any of them." - unknown

Software project management involves a wide range of tasks, the important ones are :

1. Defining project goals and objectives: clearly Identifying the scope and requirements of the software project, and ensuring that the project aligns with the organization's goals and objectives.

2. Creating a project plan: Developing a detailed plan for the project, including tasks, timelines, and milestones.

3. Managing resources: Allocating and managing the resources (people, equipment, and budget) needed to complete the project. This is very much important, managing people now a days getting tough and tougher

4. Tracking progress: Regularly monitoring the progress of the project and making adjustments as needed to stay on track.

5. Managing risks: Identifying and mitigating potential risks that could affect the project's success. and believe there is no project at all which is RISK free, so managing and highlighting the risk as early as possible is crucial.

6. Communicating with stakeholders: Keeping stakeholders informed of the project's progress and addressing any concerns or issues that arise. This is yet another major ,major task under project management , you need to keep the stakeholder informed about what is actually going on the projects.

7. Managing change: Handling changes to the project scope, schedule, or budget, and ensuring that the project stays aligned with the organization's goals and objectives. Here you need to have the understanding of what change in the requirement your team can currently accommodate and what you can do later.

8. Closing the project: Ensuring that the project is completed on time, within budget, and to the satisfaction of the stakeholders.

Overall, software project management is a complex and dynamic process that requires strong leadership, communication, and problem-solving skills, as well as a deep understanding of software development and the business domain.

"Effective project management is the application of knowledge, skills, tools, and techniques to project activities to meet project requirements." - PMI

This is about the core of project management. There are lot many methodologies , Practices ,Guidelines, Proven documented and time tested way of doing the software development project management.

in the upcoming sessions we are going to see all these in details how the project is onboarded, managed and executed till the end.

Software projects are born from a variety of sources and are developed with the goal of solving a problem or automating a process.

some of the sources of project ideas are :

Need :

Companies and organizations may identify a need within their operations and choose to build software to address it. For example, a company may have a manual process that is becoming increasingly tedious and difficult to manage, leading them to seek a solution in the form of a software application.

gap in the market.

Another common source of software project ideas is the identification of a gap in the market. Companies may observe that there is a need for a certain service or product that is not being met, and choose to develop a software solution to fill that gap. For instance, Uber identified a gap in the market for a more convenient and efficient way to book taxis, which led to the creation of their mobile app.

personal interests

Companies may also pursue software projects based on their personal interests, such as the desire to stay ahead of future technologies. For instance, Microsoft invested in OpenAI's ChatGPT technology to remain at the forefront of cutting-edge technology.

Brainstorming sessions, hackathons, and customer feedback

Brainstorming sessions, hackathons, and customer feedback are also valuable sources of inspiration for software projects. By fostering collaboration and innovation within a team, brainstorming sessions can generate new ideas to address specific needs or improve processes.

Hackathons bring together developers and designers to work on a project in a short amount of time, often resulting in the creation of new software products.

Customer feedback provides valuable insights into what users wants and need, which can be used to enhanced the existing software project solutions or start the new projects.

In conclusion, software project ideas can emerge from a variety of sources, such as a company's internal needs, market gaps, personal interests, or through brainstorming, hackathons, and customer feedback. The common thread running through all software projects is the aim to solve a problem or automate a process, leading to the creation of innovative software solutions.

In the next session we will see what will happens post the idea emerges.

In the previous sessions we have seen how the project ideas can emerge, In this session we will see what will actually happens post idea emerged. So among the many ideas emerged ,the one Idea which is viable and having great potential to benefit the company will be chosen for development .

Now very first question will be asked :Do we have all the resources to develop this project inhouse.

inhouse means by the same company where the idea emerged.

for better understanding let us take the example of our case study, in our case study Yummy Food is the FMCG company like Unilever, Their main business is manufacturing the food products, Now they came up with the Idea that they will build the Online platform called Y-MART which will help them to sell their Food items online.

So since YummyFood is the food company they don't have their own IT team which is proficient in building the Online Ecommerce portal.

now what they will do is , they will analyze the service based companies in the market and connect with them. one such third party vendor company they connected with is Y-Soft solutions for your understanding this Y-Soft solution is similar IT company like Accenture ,Infosys and TCS.

Now the question here is WHY ONLY Y-Soft solution company ,there are many more companies in the market. then here the crux lies and that is

there are few parameters, standards which YummyFood company will verify before connecting with Third parties vendor company for contract. This involves verifying the certifications which vendor company has fulfilled which certify them that they have that kind of standards and quality in their work.

what are those standards and certifications we will going to see in the next session.

Service-based companies can obtain various standards and certifications to demonstrate their expertise and quality to clients. and based on that they secure the project deals. Some of the commonly sought-after standards and certifications include:

• ISO 9001: This certification demonstrates that a company has implemented a quality management system and is committed to meeting customer requirements and improving their processes.

• ISO/IEC 27001: This certification demonstrates that a company has implemented an information security management system and is committed to protecting sensitive data and maintaining the confidentiality, integrity, and availability of information.

• CMMI (Capability Maturity Model Integration): This certification demonstrates that a company has implemented best practices for software development and maintenance and is committed to improving the maturity of their processes. this certification is very useful , if you are going to get in contract with the vendor company for your product maintenance and support.

• SOC 2: This certification demonstrates that a company has implemented a robust system of controls and is committed to maintaining the security, availability, processing integrity, confidentiality, and privacy of customer data.

• Cloud Service Provider (CSP) certifications such as AWS, Azure, GCP, etc. this certify that company has resource which are well trained and certified by companies like Amazon ,Microsoft and google

• Microsoft Gold and Silver Partner certifications. demonstrate a high level of expertise in Microsoft technologies and have met certain performance criteria. These certifications indicate that a company has a deep understanding of Microsoft products and can provide high-quality solutions and services to its customers. Gold Partners have demonstrated the highest level of competence and expertise, while Silver Partners have demonstrated a strong level of competency.

• ITIL (Information Technology Infrastructure Library) certifications for IT service management. The Information Technology Infrastructure Library (ITIL) is a framework of best practices for IT service management. IT companies can obtain ITIL certification to demonstrate their expertise in managing IT services.

• PCI DSS: The Payment Card Industry Data Security Standard (PCI DSS) is a set of security standards that all companies that accept credit card payments must comply with. Service-based companies that deal with payment processing can obtain PCI DSS certification to demonstrate their compliance.

• HIPAA: The (Health Insurance Portability and Accountability Act) (HIPAA) is a set of regulations that govern the use and protection of patient health information. Service-based companies that deal with healthcare clients can obtain HIPAA certification to demonstrate their compliance.

Obtaining these standards and certifications can help service-based companies stand out from their competitors and win projects that require a high level of quality and expertise. and these are not the one time certifications means one time company did and it stays valid forever , NO, service based companies need to keep on upgrading and renewing these certification time to time.

It's worth noting that having certifications is not the only criteria for selection, the company's track record and references, as well as their approach to software development, project management, and customer service are also important factors to consider,

few more factor includes

1. Company's experience and track record: Look at the company's portfolio and references to see if they have experience in developing similar products or providing similar services.

2. Technical capabilities: Make sure that the company has the necessary technical expertise to complete the project.

3. Communication and project management: Ensure that the company has a clear plan for communicating progress and managing the project.

4. Cost and timeline: Review the company's proposed cost and timeline for the project, and ensure that it is reasonable and achievable.

5. Legal and compliance: Review the company's terms and conditions, and make sure that they comply with any relevant laws and regulations.

6. Quality Assurance: Make sure that the company has a comprehensive quality assurance process in place.

7. Maintenance and support: Make sure that the company has a plan for maintaining and supporting the product after it is developed.

8. Intellectual Property: Make sure that the company's contract has a clear clause regarding the ownership of the IP of the product.

9. Price and Payment terms: Make sure that the company's pricing is reasonable and fair, and that the payment terms are clearly defined.

10. Legal terms and conditions: Review the company's legal terms and conditions and make sure that they are aligned with your organization's needs and expectations.

so all the relevant certifications ,standards the Client company will check before giving the project to the service based company

so understand that these all IT companies who build product and services for other big companies needs to stay very competitive and keep on upgrading their standards to get the project.

In this section, we're going to dive into the different types of software development projects that IT companies are working on. By learning about these different types of development, you'll gain valuable insight into the kind of work that's getting done in the industry.

We'll explore a range of fascinating disciplines, including

front-end development,

back-end development,

API development,

data science,

mobile development,

desktop development,

cloud computing development,

video game development, and

embedded system development.

We'll take a detailed look at each of these areas and explain how they're being used to drive innovation and solve real-world problems. and what kind of technologies and programming languages powers them.

But this isn't just about theory - we'll also examine practical examples of how these different types of development come together to create real software projects. Take our case study example of Y-Mart, for instance - which is an online e-commerce application that requires front-end and back-end development, API development, and even cloud computing development if it's going to be hosted in the cloud. And if a mobile application is required, that means mobile development is needed too.

we will also understand that every software project is the bundle of different types of software development.

By understanding the importance of these different types of development, you'll be better equipped to contribute to software projects in a meaningful way.

If you're a software developer, consider expanding your expertise to include one or more of these development disciplines. So why wait? Let's dive in and discover the fascinating world of software development together!

Front End Development

Front end development :

Think about it, when you first access a website, what is the first thing that you notice? It's the front end. in simple word front end is something which end users interact with , for example Now you will be watching this lecture over udemy website, what ever you see in the browser, the colorful interface, it is the UDEMY front end. so the somebody needs to develop this right ,so this development is called as front end development. someplace you might see people refers it as web app development.

front end is the most visible ,accessible and usable part of your software applications, mostly you will be judge first based on your front end application. front end development is one of critical software development which will decide the success of your project.

so every effort will be taken to make this front end appealing and aesthetic to user as possible , as easy to access as possible.

A special focus will be given on how fast user can get his work done using the front end, How the user can get more done in less time.

the efficient frontend is something which make users more work done with less clicks also about front end it is well said that

"The purpose of front-end development is to make things that are easy to use and good to look at."

every project will have team of front end developers who works on the development of front end.

end user can access the front end in the web browser ,here in technical terms the web browser called as client, hence the front end development referred as client side development as well.

Core Front end development technologies means programming languages are JavaScript, CSS, and HTML

however there are front technology framework exists which will help us to develop the front end in easier ,quicker, faster and more manageable way.

Top Javascript front end frameworks are

1. React

2. Angular

3. Vue.js

Top CSS frameworks are

1. Bootstrap

2. Materialize

3. Semantic ui

4. Bulma etc

If you are interested in building software applications that are visually appealing, easy to use, and accessible to end users? If so, then front end development is the right path for you.

This front end is strongly supported and powered with the strong backend system for its functioning.

in the upcoming session we will see the back end development in detail.

Back-End Development

Imagine yourself driving a luxurious sports car on the highway. You admire its sleek design, comfortable seats, and the powerful acceleration that takes you from 0 to 60 in seconds. But have you ever wondered what powers this beauty? The answer is the car's engine, which is hidden from your sight but is the core of the car's performance.

Similarly, in the world of software development, the backend is the engine that powers web applications and APIs, enabling them to function smoothly. Backend is the unsung hero of the tech world.

So, what is backend development? It involves the creation and maintenance of server-side logic that operates behind the scenes of web applications, APIs, and other software systems.

The backend is responsible for handling the server-side components, including the application server, database, and APIs, among others. Backend development is critical to building scalable and robust web applications, and it requires a deep understanding of server-side programming, security, and database management.

Think of the backend as the foundation of a house. If the foundation is strong, the house will last for years, and you won't have to worry about repairs or damages. Similarly, a great backend is all about efficiency, scalability, and security. It ensures that the front-end of the application runs smoothly, and the end-user experience is seamless.

While the front-end of an application is executed on the client-side, the backend is hosted on servers. When a user submits a request from the front-end, the backend processes it. For instance, if a user fills out a form on the front-end, the data is sent to the backend server, where it is verified against business rules, saved to the database, and then updated on the front-end. In other words, the backend drives the front-end.

To carry out backend development, a team of experts is required.

A great backend developer is someone who makes the front-end developer's job easy. They work tirelessly to ensure that the backend is secure, scalable, and efficient.

Some of the most popular programming languages used in backend development today are :

JavaScript (Node.js),

Python,

Ruby,

Java, and

C#.

The most popular backend frameworks include

Express (a Node.js framework),

Ruby on Rails,

Django (a high-level Python framework),

Spring (a Java framework),

and .Net Framework (Asp .net).

Databases play a vital role in backend development as they store and manage the data that the application uses. Popular databases used in backend development are

MySQL,

PostgreSQL,

MongoDB, among others.

In conclusion, backend development is a critical aspect of software development, and it's essential to building successful web applications. If you aspire to become a backend developer, build expertise in server-side programming, security, and database management.

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1. **Back-end development :

Backend development is the creation of the server-side logic that powers web applications, APIs, and other software systems. It typically involves building and maintaining the server-side components of an application, such as the application server, database, and APIs, among other things.**

we have seen front end is supported with strong back end for its functioning's, so in simple words we can say backend development is a type of development that takes place behind the scenes, you cant see it the way you see front end. to give you analogy "The back-end of a website is like the engine of a car - it's not seen, but it's what powers everything." - Unknown

Backend development is the foundation of any successful web application,

Great backend is all about efficiency, scalability and security.

so till now if this is clear to you then let us see where is backend located.

as front end is executed on the end user browser that is client , backend is executed or hosted on the servers. as soon as the request from front end received at the backend, backend will process it .

for example if end user filed the form over the front end , the data will be sent to the backend server, server will verify the data against business rule, save data to the database, and update the end user over the front end. So in other words you can also say backend drives the front end.

from all these we can say backend development is also one of the important kind of software development. to carry out back end development every project will have a expert people working on backend development.

"A great back-end developer is someone who makes the front-end developer's job easy." - Kyle Galbraith

The most popular back-end programming languages today are

JavaScript (Node.js)

Python

Ruby

java

C#

and most popular back end frameworks are

Express a Node.js framework

Ruby on Rails

Django-high-level Python framework

Spring - Java framework

.net Framework-Asp .net

Popular databases are

mySQL,PostgresSQL ,MongoDB etc.

Backend development is essential to building scalable and robust web applications, and it requires a deep understanding of server-side programming, security, and database management.

If you aspire to become a successful backend developer then build expertise in the above skills

API Development

1. API development

   API stands for Application Programming Interface.

   Just think we have different kind of software's or services for example front end one ,back end one and different other type of software, what API does is, API allows different software programs to communicate with each other. Think of it as a messenger that delivers a request from a program to a service and then sends the service's response back to the program. APIs turn out to be a revolutionary technology that's transforming the software industry!

   "APIs are the digital glue that connects the modern web." -

   Facilitation of communication turns APIs a super power. API has revolutionized the software development . APIs are helping to extend the capability of software beyond the boundaries. this is very important advantage of API

   Now a days many core companies are exposing there APIs, The people like you and me can use those apis and extend our applications functionalities with minimal efforts.

   for example consider Zomato application once you place the order ,you can track the delivery time by tracking the delivery boy status over the Google map, so google map has exposed the interface means APIS which Zomato is using and this capability is taking the Zomato to altogether different level . just think if google map wouldn't exposed the API , is it possible for zomato to track the delivery boy status , might be they could have developed there own, but it would have taken them immense resources time and huge money. This all headache is handled by google maps and given a clean API for use to application like Zomato and reduce the time to deliver the software's to market.

   other examples are IRCTC exposing the APIS for getting train status and reservations. Stock exchanges expose APIs for start up companies to build the trading platforms and so on.

   now a days almost every software project you can see Required the people who are expert in API technologies to build and consume the APIs

   Technologies used in building APIs are :

   now there are two types you can say first is architecrure styel which recommend the kind of architecture your api should follow and other is programming lanauges which you can use to code the APIS.

   so first will see architecture styles.

   1. REST (Representational State Transfer): This is a popular and widely-used API architecture style. RESTful APIs use HTTP requests to POST (create), PUT (update), GET (read), and DELETE (delete) data.

   2. SOAP (Simple Object Access Protocol) APIs: This is an older API technology that uses XML as its messaging format. SOAP APIs are known for their reliability and security.

   3. GraphQL: This is a query language for APIs that was developed by Facebook. It enables clients to request exactly the data they need, and nothing more. GraphQL APIs are known for their flexibility and efficiency.

   4. gRPC: This is a high-performance, open-source RPC (Remote Procedure Call) framework that is widely used for building APIs. gRPC enables developers to build efficient and scalable APIs using a wide range of programming languages.

   5. WebSockets: This is a protocol for bi-directional, real-time communication between a client and a server.

   Programming languages used for building apis are

   Python ,javascript, C#, java, Ruby,GO,,PHP etc. these are the popular ones.

   Usually you can see API development is accompanied with Backend development so people who work in API development has both backend and API development knowledge.

Data Science

Data science is the new kid on the block, and it's taking the world by storm. As the name suggests, it's all about understanding data in a systematic and evidence-based way. It's a field of study that sits at the intersection of programming and data analysis, and it's in high demand.

You may have heard the famous quote,

"Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value." - Clive Humby

Single sets of data are not that meaningful, but when you analyze a significant amount of data, it becomes incredibly important. Data science caters to this need by providing evidence-based insights that enhance decision-making, and decision-making shapes the destiny of companies.

Think of data science as a detective trying to solve a mystery. The detective has a lot of information (the data) and uses different tools and techniques to analyze that information and draw conclusions. Similarly, data scientists use various techniques to analyze data and gain insights that can be used to make informed decisions.

people who work in the data science called as data scientist for your information.

Few examples of companies making use of data science are

For example, a company might use data science to determine which products are selling well and which aren't, so they can make decisions to improve their business. Or a hospital might use data science to analyze patient data to identify patterns and predict future health problems, allowing them to provide better care to their patients. Even airline companies use data science to categorize and understand customer feedback.

Data science is not a single skill, but a combination of several skills, including statistical analysis, programming, data visualization, machine learning, and storytelling.

The process of data science involves

1. Problem definition and data collection,

2. Data Cleaning and preparation of collected data,

3. Exploratory data analysis,

4. model building and evaluation,

5. Deployment and Maintenance of built models, and

6. Communication of results to stakeholders.

In all these areas, Data scientists use programming languages to collect, store, manipulate, and analyze large and complex data sets. Some of the most commonly used programming languages in data science include

1. Python is a popular programming language used for tasks such as data cleaning, data visualization, and machine learning. It has a wide range of libraries and tools that make it well-suited for data analysis, such as NumPy, Pandas, Matplotlib, and Scikit-learn.

2. R is another programming language that is popular among data scientists, particularly in the field of statistics. It has a wide range of statistical packages and tools that make it ideal for data analysis and visualization. S

3. ****is a programming language used for managing and querying relational databases. Data scientists often use SQL to extract and analyze data from databases.

Data science is an incredibly promising field for software development, and if you're considering starting your career, you should definitely consider starting with data science. It's a field that combines several important skills, offers high job satisfaction, and promises exciting new developments in the future.

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Data Science : This was the new emerging development field which is in great demand, As the name suggest Data it is related to data and science means systematic and evidence based approach to understanding the data . it is the field of study at junction of programming and data analysis.

you would have heard this quote "Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value." - Clive Humby

Single set of data is not that meaningful but when you analyze the significant amount of data then it became lot much important, and data science cater this requirement

and what value it gives is it enhance the decision making by providing the evidence based insights and it is most important thing because decision shapes destiny of companies.

Think of it like a detective trying to solve a mystery. The detective has a lot of information (the data) and uses different tools and techniques to analyze that information and draw conclusions. Similarly, data scientists who is a professional who works in data sciences, use various techniques to analyze data and gain insights that can be used to make informed decisions.

For example : a companies might use data science to determine

1. A ecommerce company can determine which products are selling well and which aren't, so they can make decisions to improve their business. Or,

2. a hospital might use data science to analyze patient data to identify patterns and predict future health problems, allowing them to provide better care to their patients.

3. Airline companies use data science to categories and understand the feedback received from the customer

Data science is not a single skill, but a combination of several skills, including statistical analysis, programming, data visualization, machine learning, and storytelling.

in this development activities done are :

Problem definition and data collection. : defining the problem that needs to be solved and identifying the relevant data that can be used to address it.

Data cleaning and preparation :cleaning and preprocessing the collected data to remove errors, inconsistencies, and irrelevant information . here database technologies will help

Exploratory data analysis: This involves exploring and visualizing the data to understand its patterns and distributions. This helps in identifying any outliers, trends, or patterns that can be further analyzed.

Model building and evaluation: This involves building mathematical models that can be used to make predictions or classifications. The models are then evaluated to determine their accuracy and reliability. in this area programming languages are used.

Deployment and maintenance: the build model will be deployed ,maintained and monitor to ensure that model continues to perform well over time.

Communication of results: This involves communicating the findings and insights gained from the analysis to stakeholders. This can involve creating visualizations, reports, or presentations that can be easily understood by decision-makers.

In data science, programming languages play a crucial role. Data scientists use programming languages to collect, store, manipulate, and analyze large and complex data sets. Some of the most commonly used programming languages in data science include

Python is a popular programming language used in data science for tasks such as data cleaning, data visualization, and machine learning. It has a wide range of libraries and tools that make it well-suited for data analysis, such as NumPy, Pandas, Matplotlib, and Scikit-learn.

R is another programming language that is popular among data scientists, particularly in the field of statistics. It has a wide range of statistical packages and tools that make it ideal for data analysis and visualization.

SQL (Structured Query Language) is a programming language used for managing and querying relational databases. Data scientists often use SQL to extract and analyze data from databases.

are the most commonly used programming languages for data science.

Till now ,data science is looking like a most promising field for software development. if anyone about to start their career then they can consider starting from data science.

Mobile Development

Mobile Development

Picture this: It's the 21st century, and you're living in a world where the mobile phone has become the center of your universe. It's the first thing you check in the morning and the last thing you look at before bed. You use it to connect with people, to make purchases, and to entertain yourself. It's no surprise that mobile development has taken the world by storm.

As Tim Cook, the CEO of Apple once said,

"The mobile phone has become the lifeline of 21st century living."

With more and more people having access to mobile phones, companies are now focusing on building mobile applications to enhance their customer's experience. Nowadays, you'll hardly find any company that doesn't have a mobile app to offer. they might not have their website but they will have their mobile apps.

Mary Meeker, an American venture capitalist, says that

"Mobile is becoming not only the new digital hub, but also the bridge to the physical world."

With mobile development, you can build applications that run seamlessly on mobile devices. However, mobile development uses a completely different set of tools than traditional software development.

Mobile predominantly running on either Android or IOS operation systems.

If you want to build applications for android then popular programming languages are

JAva

Kotline

C++

Flutter

and if you want to build IOs application then programming language used are

Objective C

and Swift programming .

in mobile development there are further two types of development

Native App development & Hybrid or cross platform development :

Native Apps means : these app specifically build for the particular platform means operating system. such as iOS or Android, and is installed directly onto a device. native apps are built to take advantage of the device's hardware and software capabilities, such as the camera, accelerometer, and touch screen. Native applications provides great performance ,and Optimized for that particular OS

so if you have requirement to build app for mobile , that to native then you need to build two apps

Exactly opposite is

Hybrid or cross platform development ,

where you develop single application single code base and it will work on both the operating systems . this looks like cost effective and time saving method but these kinds of applications are not great in performance since those are not optimized for the particular OS.

For Hybrid or cross platform development the programming languages used are JavaScript

Dart

C# etc.

Mobile development is in great demand, and to understand its importance, let's hear it from Mark Zuckerberg, the founder of Facebook, who once said, "The future of mobile is the future of everything."

Mobile development is the future, and it's not going away anytime soon. So if you want to stay ahead of the curve, it's time to start thinking about building mobile applications.Mobile Development

Mobile Development

Picture this: It's the 21st century, and you're living in a world where the mobile phone has become the center of your universe. It's the first thing you check in the morning and the last thing you look at before bed. You use it to connect with people, to make purchases, and to entertain yourself. It's no surprise that mobile development has taken the world by storm.

As Tim Cook, the CEO of Apple once said,

"The mobile phone has become the lifeline of 21st century living."

With more and more people having access to mobile phones, companies are now focusing on building mobile applications to enhance their customer's experience. Nowadays, you'll hardly find any company that doesn't have a mobile app to offer. they might not have their website but they will have their mobile apps.

Mary Meeker, an American venture capitalist, says that

"Mobile is becoming not only the new digital hub, but also the bridge to the physical world."

With mobile development, you can build applications that run seamlessly on mobile devices. However, mobile development uses a completely different set of tools than traditional software development.

Mobile predominantly running on either Android or IOS operation systems.

If you want to build applications for android then popular programming languages are

JAva

Kotline

C++

Flutter

and if you want to build IOs application then programming language used are

Objective C

and Swift programming .

in mobile development there are further two types of development

Native App development & Hybrid or cross platform development :

Native Apps means : these app specifically build for the particular platform means operating system. such as iOS or Android, and is installed directly onto a device. native apps are built to take advantage of the device's hardware and software capabilities, such as the camera, accelerometer, and touch screen. Native applications provides great performance ,and Optimized for that particular OS

so if you have requirement to build app for mobile , that to native then you need to build two apps

Exactly opposite is

Hybrid or cross platform development ,

where you develop single application single code base and it will work on both the operating systems . this looks like cost effective and time saving method but these kinds of applications are not great in performance since those are not optimized for the particular OS.

For Hybrid or cross platform development the programming languages used are JavaScript

Dart

C# etc.

Mobile development is in great demand, and to understand its importance, let's hear it from Mark Zuckerberg, the founder of Facebook, who once said, "The future of mobile is the future of everything."

Mobile development is the future, and it's not going away anytime soon. So if you want to stay ahead of the curve, it's time to start thinking about building mobile applications.

Desktop Development

Do you remember the days when desktop applications ruled the software industry? Those were the days when every piece of software had to be installed on your desktop operating system, whether you were using Windows, MAC, or one of the many Linux distributions available. But with the advent of smartphones and mobile devices, the landscape of software development shifted dramatically.

Today, web-based applications have taken center stage, making it more convenient for users to access applications directly through a web browser, rather than having to install them on their desktops. This paradigm shift has been revolutionary, changing the way we access office-related applications, for instance.

Gone are the days when you had to install Microsoft Office on your desktop to access its applications. Nowadays, Google Workspace offers similar apps that are easily accessible via a web browser. In response, Microsoft had to adjust its approach by launching an online version of its Office suite, Office 365, making it more accessible to users.

However, despite the shift towards web-based applications, desktop app development still remains relevant.

After all, there are certain instances where desktop applications are preferred, like web browsers, which remain the most commonly used desktop application for accessing the internet and many more like this we are still using.

When it comes to desktop development, there are many programming languages and frameworks available to developers. Some of the most popular programming languages for desktop app development include

C++,

Java,

C#,

Python,

and Visual Basic.

Along with these languages, several frameworks and libraries are commonly used, like

Qt for C++ development,

JavaFX for Java development,

.NET Framework for C# development,

PyQt for Python development, and

WPF (Windows Presentation Foundation) for C# development.

The choice of programming language and framework ultimately depends on the specific requirements of the project and the preferences of the developer. Some developers may prefer low-level languages like C++, while others may opt for higher-level languages like Python for a more streamlined development experience. Similarly, some developers may prefer specific frameworks that offer certain features, while others may prefer a more flexible and customizable approach.

So, if your project demands a desktop application, don't hesitate to build one. With the right programming language and framework, desktop app development can be just as exciting and innovative as ever before.

=======

Desktop Development :

Desktop application are the application that run only on the desktop operating system like windows MAC and Linux distributions means different Linux operating system.

Initially desktop development was the major mode of software development in the industry but since when the smartphones and mobile became accessible to all people, The speed at which desktop software development was developed has slowed down.

another blow to desktop development was because of the evolution cloud technology.

Many individuals find it more convenient to access applications through a web browser rather than installing them directly on their system.

this shift from desktop application to web based application is the paradigm shift you can say.

A prime illustration of this shift is the change in the way we use office-related applications. In the past, you will be remembering we would install Microsoft Office to access such applications.

However, with the advent of Google Workspace, which offers similar apps accessible through a web browser, Microsoft was forced to alter its approach and launch an online version of its office suite, Office 365. now you can access the office applications within browser as well and the data will be saved in the office 365 cloud.

However, desktop app development remains relevant, as people still use these types of applications. One such example is web browsers, which are the most used desktop applications to access the internet.

if project demands the desktop application then we need to build the desktop applications

There are many programming languages and frameworks that are commonly used for desktop app development. Some of the most popular programming languages used in desktop development include:

1. C++

2. Java

3. C#

4. Python

5. Visual Basic

In addition to programming languages, there are also several frameworks and libraries that are commonly used in desktop app development. Some popular frameworks and libraries include:

1. Qt (for C++ development)

2. JavaFX (for Java development)

3. .NET Framework (for C# development)

4. PyQt (for Python development)

5. WPF (Windows Presentation Foundation for C# development)

The choice of programming language and framework will depend on the specific requirements of the project, as well as the preferences of the developer. Some developers prefer to use a low-level language like C++, while others prefer to use a higher-level language like Python, as it offers a more intuitive and streamlined development experience. Similarly, some developers may prefer to use a specific framework that offers a certain set of features, while others may opt for a more flexible and customizable approach.

Cloud Computing Development

Cloud computing development :

We have seen Data is the new OIL of this digital era , data growth in this era is exponential, Data is important and we can not save, maintain this much data locally in our machines, because our machine is not a reliable source, it might get damaged, stolen and these incidents make the data unrecoverable.

in such challenges the cloud technology helps.

"Cloud computing is essentially renting computing power, storage, and other capabilities over the internet." - Tim O'Reilly

Cloud computing helps to expand the computing power, storage and capabilities to cloud.

before cloud , if any company wants to build the websites then they need to buy the server, maintain the servers, its power, memory storage, infrastructure everything even if that is not there cup of tea. with the invention of cloud all these headache has been gone to the cloud service provider and it has reduced the time to market of product.

Cloud computing is a rapidly evolving field and has seen significant growth and development in recent years. Here are a few notable developments in cloud computing:

1. Multi-cloud and Hybrid Cloud: Organizations are increasingly adopting a multi-cloud and hybrid cloud strategy, where they use a combination of public and private clouds to meet their computing needs.

2. Artificial Intelligence and Machine Learning: Cloud providers are investing heavily in AI and ML technologies and integrating them into their cloud services, making it easier for organizations to incorporate these technologies into their operations.

3. Serverless Computing: Serverless computing is becoming more popular, allowing developers to build and run applications without having to manage the underlying infrastructure.

4. Internet of Things (IoT): The growth of IoT is driving the need for cloud computing capabilities, as the vast amounts of data generated by IoT devices require storage and processing in the cloud.

5. Edge Computing: Edge computing is an emerging trend where computing is performed at the edge of a network, closer to the source of data, rather than in a centralized data center.

These developments are shaping the future of cloud computing and driving innovation in the industry.

Cloud computing represents a huge opportunity for businesses of all sizes to access powerful technology without the high costs and complexity of traditional IT

There are many programming languages and technologies that are commonly used for cloud computing solution development. Some of the most popular programming languages include:

1. Java

2. Python

3. JavaScript

4. Go

5. Ruby

In addition to programming languages, there are also several cloud-specific technologies and frameworks that are commonly used in cloud computing solution development. Some popular cloud technologies include:

1. Amazon Web Services (AWS)

2. Microsoft Azure

3. Google Cloud Platform (GCP)

4. Docker

5. Kubernetes

Other popular cloud-related technologies and frameworks include:

1. Serverless computing (such as AWS Lambda, Azure Functions, and Google Cloud Functions)

2. Microservices architecture

3. Infrastructure as Code (IaC) tools (such as Terraform and CloudFormation)

4. Database technologies (such as Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Firestore)

The choice of programming language, technology, and framework will depend on the specific requirements of the project and the preferences of the development team.

Full Stack development

Welcome to this new exciting world of Full Stack Development, an exciting and widely famous term in the software industry today.

In our tech-savvy world, software projects are complex bundles of different types of software development. They usually comprise front-end, back-end, API, mobile, and cloud development - the five major components of modern software. so full stack development project is the project which has multiple types of development involves.

Initially, software companies used to hire separate individuals with specialized skills for each type of development. For instance, front-end developers for front-end development, back-end developers for back-end development, API developers for API development, and so on.

However, this process often proved to be inefficient and costly because once front end development is done the front end guy left with no work and same is the case with others developers, so they thought of this concept why not single guy can do development across several discipline like backend, frontend, api etc . and this thought invented the concept of full stack developer

A Full Stack Developer is a person who works in such a project and holds knowledge of all these types of development.

The expectation of a Full Stack Developer is that they should have knowledge of front-end, back-end, mobile, API, and cloud development and everything in between etc

Over the last five years, the demand for Full Stack Developers has skyrocketed, One major reason is the popular Agile methodology of software development, which recommends having all the Full Stack Developers on the team.

The Full Stack Developer is expected to have knowledge of all front-end and back-end technologies. They can take an idea from conception to completion and tackle any challenge that arises along the way. They possess the rare ability to take an idea, no matter how big or small, and transform it into a fully functional, user-friendly application.

To excel in Full Stack Development, one needs to be passionate about learning, be able to adapt to new technologies, and have a deep understanding of software development principles. This is an exciting field that is constantly evolving, so if you're looking to break into the software industry, Full Stack Development is a great place to start.

Video game development

Once upon a time, video game development was a niche industry with a small group of dedicated developers working tirelessly to create the next big thing. But oh, how times have changed! Today, video game development has exploded into one of the fastest-growing and most lucrative industries in the world, with a global market expected to reach over $365 billion in revenue by 2023.

So what goes into creating these amazing games that have captured the hearts and imaginations of millions? Well, it's a complex process that involves a wide range of skills and expertise. A video game development team typically consists of artists, designers, programmers, and producers who work together to bring the game to life. From the initial concept and game design to the programming, graphics, and audio, every aspect of the game must be carefully crafted to create a truly immersive experience.

It's no wonder that so many developers specifically seek out software companies that work on video game development. After all, what could be more exciting than creating a game that people will love and enjoy for years to come?

But creating a great game isn't just about having a great idea. It's also about having the right tools and technology to bring that idea to life. There are several programming languages and frameworks used for video game development, depending on the type of game, platform, and the developer's preference.

For example,

C++ is a high-performance language that is widely used for game development due to its speed and ability to handle large amounts of data. It's used to develop games for various platforms, including Windows, MacOS, and Linux.

C#, on the other hand, is a high-level language that is popular for game development on the Microsoft platform, including Windows and Xbox. It's used in the development of 2D and 3D games, as well as for virtual and augmented reality games.

Unity is another popular option for game development, as it's a cross-platform game development engine that supports the creation of 2D and 3D games. It uses C# as the primary programming language and provides a visual interface for designing and building games.

Unreal Engine, on the other hand, is a game development engine that supports the creation of high-quality 3D games. It uses C++ as the primary programming language and provides a visual interface for designing and building games.

And let's not forget about Python and JavaScript,

which are also popular choices for game development. Python is often used for developing smaller games and for prototyping and scripting,

while JavaScript is popular for game development on the web platform and is used to develop browser-based games and interactive experiences.

In conclusion, video game development is an incredibly exciting and dynamic field that offers endless opportunities for creativity and innovation. Whether you're an artist, designer, programmer, or producer, there's a place for you in the world of video game development. So why not jump in and see where your skills can take you? The possibilities are endless!

======== Video game development is the process of designing, creating, and programming video games. It involves various aspects such as game design, animation, graphics, audio, and programming. A video game development team typically consists of artists, designers, programmers, and producers who work together to bring the game to life.

The video game industry is one of the fastest-growing and most lucrative industries in the world. The global video game market is expected to reach over $159 billion in revenue by 2022. The growth of the video game market is driven by advancements in technology, the rise of mobile gaming, and the increasing popularity of esports. The demand for video games is growing, and the industry offers exciting and dynamic career opportunities for developers.

many developers will specifically looks for the software companies which works on video games development

There are several programming languages and frameworks used for video game development, depending on the type of game, platform, and the developer's preference. Some of the most popular ones are:

1. C++: It is a high-performance language that is widely used for game development due to its speed and the ability to handle large amounts of data. It is used to develop games for various platforms, including Windows, MacOS, and Linux.

2. C#: It is a high-level language that is popular for game development on the Microsoft platform, including Windows and Xbox. It is used in the development of 2D and 3D games, as well as for virtual and augmented reality games.

3. Unity: Unity is a cross-platform game development engine that supports the creation of 2D and 3D games. It uses C# as the primary programming language and provides a visual interface for designing and building games.

4. Unreal Engine: Unreal Engine is a popular game development engine that supports the creation of high-quality 3D games. It uses C++ as the primary programming language and provides a visual interface for designing and building games.

5. Python: It is a high-level language that is popular for game development due to its simplicity and ease of use. It is often used for developing smaller games, as well as for prototyping and scripting.

6. JavaScript: It is a high-level language that is popular for game development on the web platform. It is used to develop browser-based games and interactive experiences.

Embedded System Development

Embedded system development refers to the creation of computer systems that are integrated into other devices or products. These systems are designed to perform a specific function or set of functions, and they are often small, low-power, and resource-constrained.

"Embedded systems development is a critical aspect of modern technology, as these systems provide the foundation for a wide range of devices and products that are essential to our daily lives."

Here's a simple example to help understand what an embedded system is:

Imagine you have a toaster at home. A toaster is a device that toasts bread, right? But, if you take a closer look, you'll notice that there are many components inside the toaster that work together to make the toast. There is a heating element, a timer, and a control system to regulate the temperature and timing of the toasting process. These components are examples of an embedded system. They are designed to perform a specific function (toasting bread) and are integrated into the toaster.

So, embedded system development is the process of designing and creating these components and integrating them into a device to perform a specific function. This could be anything from a simple toaster to a complex system like a car's engine control unit, which manages the engine's performance and fuel efficiency.

In summary, an embedded system is a computer system that is integrated into another device or product to perform a specific function

"The future of embedded systems development is bright, as the demand for these systems continues to grow in a wide range of applications, from consumer electronics to industrial automation and beyond."

There are several programming languages commonly used for embedded system development, including:

1. C: C is a low-level programming language that is widely used in embedded system development due to its efficiency and performance. It is commonly used to develop the firmware (i.e., low-level software) that runs on the microcontroller or microprocessor of an embedded system.

2. Assembly language: Assembly language is a low-level programming language that is used to program microcontrollers and microprocessors directly. It is often used in situations where maximum performance or low power consumption is required.

3. C++: C++ is an extension of C that provides object-oriented programming capabilities. It is used in embedded system development when a higher-level programming language is needed to manage the complexity of the system.

4. Python: Python is a high-level programming language that is commonly used in embedded system development for scripting, prototyping, and testing. It is known for its ease of use and readability.

5. Java: Java is a high-level, object-oriented programming language that is widely used in embedded system development for developing applications that run on embedded systems with a Java Virtual Machine (JVM).

These are just a few of the programming languages commonly used for embedded system development. The choice of a programming language depends on the specific requirements of the project, including the target platform, performance requirements, and the skill set of the development team.

===============

Embedded system development refers to the design, creation, and implementation of software and hardware systems that are integrated into other products or devices to perform specific functions. These systems are called "embedded" because they are typically hidden inside the final product and are not meant to be seen or interacted with directly.

Embedded systems are used in a wide range of devices, from consumer electronics like smartphones and televisions, to industrial equipment like medical devices and control systems for factories. The development of embedded systems requires a combination of skills in software engineering, electronics, and hardware design, as well as a strong understanding of the specific requirements and constraints of the target device.

In embedded system development, engineers design, program, and test the software and hardware components that make up the system, ensuring that they work together seamlessly to meet the needs of the end user. The development process often involves multiple iterations of testing and refinement to ensure that the final product is reliable and meets all functional requirements.

Embedded system development is a complex and challenging field, but it is also a critical area of technology that drives innovation in many industries and has a major impact on our daily lives.

Thought of covering this in demand skill that is becoming must have for many project that is Progressive web app development. These types of web apps are in demand ,and many project will have this requirements.

Before seeing PWA let us understand problems of traditional web apps and native apps and how the PWA solves it :

1. Slow Internet speed: : Imagine you are a big fan of a fashion e-commerce website and you love to shop on it. However, every time you try to access the site on your phone, it takes forever to load, the images are slow to display, you keep on tapping buttons hoping it will load

   This is not a great experience, and it can be frustrating. This is a common problem with traditional web apps, where slow internet or slow loading speeds can result in a lackluster user experience.

   PWA solves this problem ,PWA sites it loads fast, images display quickly, and you can easily navigate the site using your fingers this is happens because PWA uses cache optimally

2. No internet connection sometime : suppose you have limited or no internet access for some time period then during that time normal web apps you can not access,

   but PWA you can, PWA might not will offer the full functionality but it can offer the functionalities even if there is no internet.

3. Limited functionality on low-end devices: If your website is content and feature heavy then it might not work well with the low end devices but PWAs are designed to be lightweight and work well on low-end devices, making them accessible to a wider audience.

4. Difficulty in discovery and installation: PWAs can be discovered through search engines, and they can be installed on a user's device with just a few taps, making them easier to find and install than traditional native apps.

5. High cost of development and maintenance: Developing and maintaining a native app for multiple platforms can be expensive, but PWAs can be developed once and work on all platforms, reducing the cost and effort required.

6. Limited reach: Native apps are only accessible to users who have downloaded them from app stores, but PWAs can be accessed from any browser, making them accessible to a wider audience.

but understand this that PWA development is not a separate kind of development but it is a extension to the normal web app development where your application will have more PWA capabilities

the technologies which enabled the PWA are

1. Service Workers: A script that runs in the background and enables PWAs to work offline, handle push notifications, and provide a native app-like experience.

2. Web APIs: A set of APIs that allow web apps to access native device features, such as camera, geolocation, and storage.

3. Web App Manifest: A JSON file that provides metadata about the PWA, such as the app's name, icons, and start URL. This file is used by browsers to install the PWA on the user's device.

By leveraging the power of PWAs, you can create apps that offer a user experience that's as smooth as a native app, with all the convenience of a web app.

Open source development (1)

Once upon a time, there was a group of developers who were tired of being limited by proprietary software. They wanted to create software that was free to use, modify, and distribute. And so, the idea of open source software was born.

Open source development is the practice of creating and sharing software in an open and collaborative manner. This means that anyone can view, modify, and distribute the source code of the software. This approach has led to the creation of some of the most popular and widely used software in the world, including the Linux operating system, the Apache web server, and the Firefox web browser. MySQL database management system and the list goes on.

But open source development is more than just about creating free software. It is also about creating a community of developers who work together to improve the software. This community is made up of people from all over the world who share a common goal: to create software that is better than anything that could be created by a single company or individual.

One example of this collaborative approach to software development is the development of the WordPress content management system. WordPress is an open source software that powers millions of websites around the world. It was created by a small group of developers, but it has grown into a massive community of developers who contribute to the project in many different ways.

Some developers contribute by writing code, while others contribute by designing themes and plugins that extend the functionality of WordPress. There are also developers who contribute by testing the software, writing documentation, and helping others in the community.

From developer point of view the skills required for Open source software developments are

1. Proficiency in a programming language: Depending on the project, you may need to know one or more programming languages, such as C, C++, Python, Java, C#, JavaScript, or Ruby.

2. Version control: Experience using version control tools such as Git, Mercurial, or Subversion is essential for open source software development, as this allows developers to work collaboratively on the codebase.

3. Debugging and testing: The ability to identify and fix bugs, as well as write and run unit tests, is important for ensuring the quality of the software.

4. Familiarity with open source tools and frameworks: Many open source projects use popular tools and frameworks such as Apache, Django, or jQuery, so familiarity with these can be helpful.

5. Communication skills: Open source software development often involves collaborating with other developers, so strong communication skills, including the ability to write clear and concise documentation and interact effectively with the community, are also important.

6. Community building and management: Skills in community building and management are important for open source development, including the ability to engage and communicate with users, attract new contributors, and manage project resources.

The success of WordPress and other open source projects has led to a growing demand for developers who are skilled in open source development. There are many career opportunities available for developers who have experience in open source development, including roles as software engineers, project managers, and community managers.

In addition to career opportunities, there are also many benefits to contributing to open source projects. Developers who contribute to open source projects have the opportunity to work on exciting projects that have a real impact on the world. They also have the opportunity to collaborate with other developers from around the world, which can lead to new friendships and professional connections.

As the world becomes increasingly dependent on software, the importance of open source development will only continue to grow. Open source software is used in everything from smartphones to automobiles to airplanes. By contributing to open source projects, developers can play a vital role in shaping the future of technology.

=========== Open Source Software Development: Open source software development involves building software applications that are freely available and can be modified and improved by a community of developers.

This approach to software development encourages collaboration and community participation in the creation and improvement of software. Open source software can be developed by individuals or teams, and the development process is often transparent, with the source code and related documentation available to the public.

This type of development typically involves the use of specific programming languages and frameworks, as well as knowledge of open source software communities and platforms such as GitHub or SourceForge. The focus of open source software development is on creating software that is accessible, transparent, and can be continuously improved by a community of developers.

Examples of well-known open source software include the Linux operating system, the Apache web server, and the MySQL database management system. Open source software development has many benefits, such as faster innovation, increased security, and reduced costs, as well as the ability to create and distribute software that can be used by anyone, regardless of their financial means.

The specific programming skills needed for open source software development will vary depending on the project, but there are some general programming skills that are useful for most open source projects. These include:

1. Proficiency in a programming language: Depending on the project, you may need to know one or more programming languages, such as C, C++, Python, Java, C#, JavaScript, or Ruby.

2. Version control: Experience using version control tools such as Git, Mercurial, or Subversion is essential for open source software development, as this allows developers to work collaboratively on the codebase.

3. Debugging and testing: The ability to identify and fix bugs, as well as write and run unit tests, is important for ensuring the quality of the software.

4. Familiarity with open source tools and frameworks: Many open source projects use popular tools and frameworks such as Apache, Django, or jQuery, so familiarity with these can be helpful.

5. Communication skills: Open source software development often involves collaborating with other developers, so strong communication skills, including the ability to write clear and concise documentation and interact effectively with the community, are also important.

6. Community building and management: Skills in community building and management are important for open source development, including the ability to engage and communicate with users, attract new contributors, and manage project resources.

These are just a few of the programming skills needed for open source software development, and the specific skills required will depend on the project and its goals.

Enterprise App Development (1)

Once upon a time, businesses relied on paper and pen to keep track of their operations. But as technology evolved, so did the way businesses operated. Today, enterprise app development has become essential to the success of businesses of all sizes.

Enterprise app development is the process of creating applications that are designed to support the specific needs of businesses.

These apps can range from customer relationship management (CRM) tools to project management software to inventory management systems, Employee portals to HR tools and so on

One example of successful enterprise app development is Salesforce. Salesforce is a cloud-based CRM platform that helps businesses manage their sales, marketing, and customer service activities. It is one of the most widely used enterprise apps in the world, with millions of users across industries.

Another example of an enterprise app is Workday, which is a cloud-based human resources and finance software used by many organizations. It provides tools for managing employee data, payroll, benefits, and other HR functions, as well as financial management, procurement, and expense management.

To be successful in enterprise app development, developers need to have a strong understanding of programming languages such as

JavaScript Java,

Python, and

C#.

They also need to be skilled in software development frameworks such as

Angular,

React, and

Node.js.

.NET etc

Every enterprise is different and unique so lot much scope for Customization and integrations The future of enterprise app development is bright. As businesses become more reliant on technology to support their operations, the demand for skilled developers in this field will only continue to grow. In addition to traditional business software, there is also a growing demand for mobile enterprise apps that can be used on smartphones and tablets.

By working in enterprise app development, developers can help businesses operate more efficiently and effectively, and make a real impact on the world.

E-commerce App development (1)

Once upon a time, shopping used to mean getting dressed, hopping into a car, and driving to the store. But with the rise of technology, shopping has become more convenient than ever before. Today, you can buy anything from anywhere in the world with just a few taps on your phone, thanks to ecommerce apps.

eCommerce app development refers to the process of building an application that allows businesses to sell products or services online. An eCommerce app is typically designed to provide a seamless experience for customers to browse, select, purchase, and track their orders using their mobile devices.

For example, consider an eCommerce app like Amazon. The app allows customers to browse through millions of products, view product details, add products to their cart, and checkout using a secure payment gateway. Customers can also track their orders, view their order history, and manage their account settings, all within the app.

In order to develop an eCommerce app, a range of technical skills are required, including:

1. Mobile App Development: The eCommerce app needs to be designed and developed to run seamlessly on both iOS and Android devices.

2. Front-end Development: This involves developing the user interface and user experience of the app to make it visually appealing and easy to use.

3. Back-end Development: This involves developing the server-side components of the app that enable it to communicate with the database, handle user authentication, and manage order processing.

4. Database Management: An eCommerce app needs to manage a large volume of data, including product information, customer details, and order information. Therefore, expertise in database management is essential to ensure the app runs smoothly.

5. Payment Gateway Integration: An eCommerce app needs to integrate with payment gateways to ensure secure and seamless payment processing.

6. Testing and Quality Assurance: The app needs to be thoroughly tested to ensure it is bug-free, secure, and provides a seamless user experience.

The popular programming languages and frameworks used for ecommerce applications are

1. Javascript

2. java

3. C#

4. swift and kotline for mobile development

5. mobile app development frameworks such as React Native and Angular and Flutter.

People who are skilled in these technologies will be well-positioned to take advantage of Ecommerce development opportunities. By working in ecommerce app development, developers can help shape the future of shopping and make a real impact on the world.

The future of ecommerce app development is bright. As more and more people around the world gain access to smartphones and the internet, the demand for ecommerce apps will only continue to grow. Ecommerce companies will continue to invest in app development to stay ahead of the competition and provide their customers with the best possible shopping experience.

Database Development (1)

Once upon a time, businesses relied on paper and file cabinets to store their data. But as the volume of data grew and technology evolved, the need for organized and efficient data management became increasingly important. and this develop the need for database management system.

Database Development is the process of designing, creating, and maintaining databases that can store and manage large volumes of data. Databases can range from simple collections of data to complex systems that power entire businesses.

One example of successful database development is Oracle. Oracle is a database management system that is widely used by businesses of all sizes. It allows businesses to store and manage vast amounts of data, including customer information, financial data, and inventory data.

To be successful in database development, developers need to have a strong understanding

database management systems such as Oracle, MySQL, and Microsoft SQL Server.

There are several types of databases, each with its own unique features and benefits. Here are some of the most common types of databases:

1. Relational Databases: Relational databases ar e the most widely used type of database. They organize data into tables, which are linked by relationships based on common fields. This allows for efficient storage and retrieval of data, making it ideal for businesses and organizations. MySQL, Oracle Database, Microsoft SQL Server, PostgreSQL, and SQLite are all examples of popular relational database management systems

2. NoSQL Databases: NoSQL databases, or "non-relational" databases, are designed to handle unstructured and semi-structured data. They are often used for big data applications and real-time web applications. NoSQL databases can be faster and more flexible than traditional relational databases, but they may require more specialized skills to work with. MongoDB, Cassandra, Couchbase, Redis, and Amazon DynamoDB are all examples of popular NoSQL databases.

3. Object-Oriented Databases: Object-oriented databases are designed to work with object-oriented programming languages such as Java and Python. They store data in the form of objects, which can be easily manipulated and updated. b4o and Objectivity/DB are examples of object-oriented databases.

4. Graph Databases: Graph databases are designed to work with data that has complex relationships, such as social networks or recommendation engines. They organize data into nodes and edges, which represent entities and the relationships between them. Neo4j, OrientDB, and ArangoDB are examples of popular graph databases.

5. Time-Series Databases: Time-series databases are designed to handle data that changes over time, such as stock prices or sensor readings. They are optimized for fast and efficient storage and retrieval of time-stamped data. InfluxDB, TimescaleDB, and OpenTSDB are examples of popular time-series databases.

6. Document Databases: Document databases are designed to store and manage unstructured data such as text, images, and multimedia. They are often used in content management systems and other applications that deal with large amounts of unstructured data. MongoDB, Couchbase, and Amazon DocumentDB are examples of popular document databases.

Selections of types of database dependes upon factors like the volume of data ,nature and kind of data , budget, expertise

There are many career opportunities available for developers who have experience in database development, including roles as database administrators, data analysts, and software engineers. With the right skills and experience, developers can also become consultants or start their own database development companies.

Artificial intelligence and machine learning development (1)

AI and ML, This is also one revolutionary type of development evolving at rapid speed.

before understanding this let us first understand the difference between data science , AI and ML because many people i have seen they are confused with this term.

so we have seen Data science involves the use of statistical and computational methods to . Data Science involves the entire lifecycle of data, from data collection and preprocessing to analysis and visualization . its mainly deal with analyzing data and deriving meaningful insights from it and later on companies use these insights to make decision.

one example is : By analyzing sensor data from machines, data scientists can identify patterns that indicate when a machine is likely to fail. This allows the maintenance team to perform maintenance before the machine breaks down, reducing downtime and improving efficiency.

Artificial intelligence : AI is about creation of intelligent machines that can think and act like humans. so you can think they can replace the human work. AI involves the development of algorithms and models that can learn from data, make decisions, and solve problems. here important things are creation of intelligent machines, learning from data. One example of AI in action is voice assistants like Siri or Alexa. These systems use natural language processing (NLP) to understand spoken commands and provide responses

Machine Learning : ML :s a subset of AI that involves the development of algorithms and models that can learn from data without being explicitly programmed. ML algorithms can identify patterns in data and use those patterns to make predictions or decisions.

one example here is image recognition software. the ML algorithms behind Google Photos can recognize faces and objects in photos and group them together. This is possible because the system has been trained on a large dataset of images, allowing it to learn patterns and make predictions.

The future of AI and ML is undeniably bright. They have already revolutionized many industries, including healthcare, finance, and manufacturing. In healthcare, AI and ML are used to develop personalized treatment plans and to analyze medical data. In finance, AI and ML are used for fraud detection and to analyze market trends. In manufacturing, AI and ML are used to optimize production lines and to predict equipment failures.

The future of AI and ML is not just limited to these industries. They have the potential to revolutionize every aspect of our lives, including transportation, education, and entertainment. For example, self-driving cars are a reality today, thanks to AI and ML. In education, AI and ML can be used to develop personalized learning plans for students. In entertainment, AI and ML can be used to create more engaging and interactive experiences for users.

Lot many real life use cases exists for AI and ML.

To develop AI and ML systems, there are many technologies and programming languages available. Python is one of the most popular programming languages for ML. It has a large number of libraries and frameworks that make it easy to develop ML models. TensorFlow, PyTorch, and Scikit-learn are some of the popular ML frameworks for Python.

Apart from Python, there are other programming languages that are commonly used for AI and ML, such as

R,

Java, and

C++.

In conclusion, the future of AI and ML is exciting and full of possibilities. They have already transformed many industries and have the potential to revolutionize every aspect of our lives. With the advancements in technology and the availability of powerful programming languages and frameworks, the development of AI and ML systems has become easier and more accessible than ever before.

Case Study (1)

The case study which we will going to analyze in the next session is about Y-Mart ecommerce website. This is the application belongs to Yummy Food company who wants to leverage the online platform by selling their own products online.

So they have given the high level requirement's of the application, i am listing down all requirements here so that in the next session we will analyze those and figure out which all different kind of software development we need to carry out to fulfill the requirements

FEATURES FOR END USERS :

1. User Registration and Login: Users should be able to create an account, log in and log out of the system.

2. Product Catalogue: A comprehensive product catalogue with categories and subcategories should be available for customers to browse and search for products.

3. Product Details: Each product should have a detailed product page with information such as product description, price, images, reviews, ratings, and related products.

4. Shopping Cart: Users should be able to add products to their shopping cart, view the items in their cart, and make modifications to their order before checkout.

5. Checkout Process: The checkout process should be streamlined and user-friendly, allowing customers to enter their shipping and payment information and complete their purchase quickly and easily.

6. Payment Gateway Integration: A secure payment gateway should be integrated to allow customers to make online payments using credit/debit cards, net banking, and other payment methods.

7. Order Tracking: Customers should be able to track the status of their orders, view order history, and receive email notifications regarding the status of their order.

8. Customer Reviews and Ratings: Customers should be able to leave reviews and ratings for products they have purchased, helping other customers make informed decisions.

9. User Account Management: Users should be able to manage their account information, including their contact information, payment details, and order history.

10. Customer Support: The application should provide multiple channels for customer support, including a customer service helpline, email support, and a knowledge base with frequently asked questions.

11. Marketing and Promotion: The application should have features to run promotional campaigns, such as discounts, coupons, and referral programs to attract new customers and retain existing ones.

12. Seller Dashboard: The application should have a seller dashboard for sellers to manage their products, orders, inventory, and shipping details.

13. Admin Dashboard: The application should have an admin dashboard for site administrators to manage the entire eCommerce platform, including managing user accounts, monitoring order processing, and managing seller accounts.

14. Multi-Language and Multi-Currency Support: The application should support multiple languages and currencies to cater to customers from different regions and countries.

15. Mobile Responsive Design: The application should be designed to be mobile-friendly, allowing customers to access the platform from any device.

16. Push Notifications: The application should have the ability to send push notifications to users, notifying them of new products, promotions, or other events.

17. Add to Homescreen Prompt: The application should prompt users to add the app to their device's home screen for easy access.

18. Fast Loading: The application should be optimized for fast loading speeds, reducing bounce rates and improving user engagement.

19. Offline Functionality: The application should provide basic functionality even when the user is offline, such as browsing previously viewed pages and accessing cached data.

20. Cross-Platform Compatibility: The application should be compatible with multiple platforms and devices, including desktops, mobile devices, and tablets.

21. Data Collection: The application should collect relevant data from various sources, such as customer behavior, transaction history, and product inventory.

22. Data Analysis: The application should use statistical and machine learning techniques to analyze the collected data and generate insights such as customer preferences, product demand, and sales trends.

23. Personalization: The application should use data science techniques to personalize the user experience, such as recommending products based on past purchases, browsing history, and customer preferences.

24. Fraud Detection: The application should use data science techniques to detect fraudulent activities, such as fake reviews, spam, and payment fraud.

25. Sales Forecasting: The application should use data science techniques to forecast sales for different products, categories, and regions, helping to inform marketing and promotional activities.

26. Data Visualization: The application should provide interactive data visualization tools that enable users to explore and analyze data, such as charts, graphs, and maps.

27. Predictive Modeling: The application should use machine learning techniques to forecast future trends and identify opportunities for growth, such as predicting product demand, sales trends, and market conditions.

28. Natural Language Processing: The application should use natural language processing (NLP) techniques to analyze customer feedback, reviews, and comments, and generate insights on customer satisfaction and preferences.

29. Chatbots: The application should use natural language processing and machine learning techniques to enable chatbots that can assist customers with their queries, orders, and complaints.

30. Voice Recognition: The application should use voice recognition techniques to enable users to interact with the application using voice commands, improving the user experience

====================

Analysis of Case Study (1)

In this session, we will review the high-level requirements we have so far and determine types of software development needed to meet those requirements. I have attached the requirements document to the previous lecture. but i will again attached here , in case you have missed you can download from this lecture resources section. Before going ahead you can go through the doc, for better understanding

now let us start : We have a detailed understanding of the various software development types, so let's take this as a challenge and analyze the requirements to determine what types of development we need for this case study.

Please pause this video for five minutes to complete this exercise. After that, we will review my solution.

Great, were you successful? Let's move on to my thought process.

if you see this is ecommerce application so definitely whatever we have seen in the ecommerce development lecture we need to evaluate it so let us start.

If we examine the requirements, the initial set of requirements mainly relate to the end-user, which include a registration form, a product catalog, a product detail page, a shopping cart feature, a checkout process, a payment gateway for payment, order tracking, customer review and feedback, and more.

To provide these features, the application needs a strong, robust, appealing front-end user interface so front end development is must for us.

Many activities will be performed by the user on the user interface, such as registering, searching for products and adding to cart, placing orders, user account mgmt and more. These activities require back-end request processing, so we need back-end development.

The front-end will communicate with the back-end system, and the back-end will have requirements to communicate with third-party payment gateways and other relevant systems . This requires API development.

As the user searches for products, place orders ,provide reviews and feedback this generate the data ,we need to maintain this data in the database, so we need a database management system and eventually some database development.

There is a requirement to make the application support mobile devices, so we need mobile application development. However, we also have a requirement for cross-platform compatibility with desktop, mobile, and tablet devices, so we will not build a native mobile application but will build a hybrid or cross-platform application where the code will be the same but will render according to the devices.

Further down the line, we have requirements for data collection, data analysis, and data visualization, which offer opportunities to leverage data science development.

We will also need to fulfill requirements such as fraud detection, customer feedback analysis, and predictive modeling, which require the use of machine learning techniques, necessitating machine learning algorithm and model development.

Lastly, we have requirements such as chatbots that specifically require the use of artificial intelligence techniques to build.

So far, we have identified front-end, back-end, API, database, data science, mobile, AI, and ML development types. All this ecosystem needs to be deployed over the cloud which demands cloud development , and cloud computing power required to run AI and ML functionalities optimally.

so these many types of development we need to carry out to fulfill the requirements. so we already seen single fully functional application is the bundle of different types of development. Hope you would have got a real time understanding of this via this case study .

That's all from side , don't just stop here start analyzing the same way for your current project requirements or pick some sample requirements and analyze it will be a great exercise and will help you to inculcate the knowledge which you got in this course.

In this session we will go through the High level requirement which we have till now and try to figure out the kind of development which we need to carry out to fulfill the requirements. I am not going to do something different , now we have detail understanding of all the kind of software developments.

so take this as challenges and go through the requirements and try to figure out which all kind of development we need to carry out in this case study .

Pause this video take 5 mins for this exercise . after that we will see my solution .

were you successful, Great .

now let us see my thought process .

if we see the requirements the initial set of requirements are more over the end user related requirements which are talking about user should have registration form ,A Product catalogue, product detail page to see the detail product requirements , then shopping cart feature to add the product to cart, then checkout process, Payment gateway configured for payment , order tracking ,customer review and feedback and many more .

to give these feature out application should have front end part that is User interface. and on the user interface there are lot many things which user will be doing like registration searching products , confirming order and many more these activities needs the back end request processing hence we need the backend development.

now front end will communicate with backend system and backend will have requirements to communicate with third party payment gateways this make us a strong requirements of API developments .

Since user is searching the products we need to maintain the products right ,so we need to maintain the products in the data base so ,we need database management system and eventually some database development.

Now there is requirement to make the application support with Mobile so we need Mobile application development.

but if you see there is another requirement os cross platform compatibility with desktop mobile tablet so we will not build the mobile native type application but will build the hybrid or cross platform application where the code will be same but will be rendered according to the devices.

if we come further below we have requirement for data collection and data analysis, ,data visualization here there is scope to leverage the data science development.

then we will have requirements like Fraud detection, Analyze customer feedback, Predictive modelling here there is the scope to use the machine learning techniques hence requires machine learning algorithm and model developments

then we will have requirements like chatbots which specifically demands the artificial intelligence techniques to build

Now till now we have front end ,backend ,apis , Database, Data science ,Mobile. AI and ML types of development, now all these artifacts need to deployed hence we need cloud development as well , cloud will help us to provide the computing power which will help us in running the AI and ML functionalities optimally

Introduction

Welcome back ! It's time to delve into the heart of software development, now that we have our project idea and project in hand.

Our goal for this section is to persuade you to embark on an exciting journey that will equip you with the knowledge and skills you need to succeed in software development. To kick things off, we'll introduce the Software Development Life Cycle (SDLC) and gradually guide you through each phase of the process, leaving no stone unturned.

Throughout this session, we'll cover every aspect of the SDLC in detail, giving you a comprehensive understanding of the entire process. So, get ready to immerse yourself in the exciting world of software development and gain a deep understanding of the SDLC.

Are you ready to take the first step towards becoming a successful software developer? Let's get started!

What is SDLC

SDLC-Software development lifecycle is the very well defined process of execution of Software projects from start to end. SDLC is the heart of entire Software Development Project mgmt.

If you are working in the software industry then you would have heard this term quite often ,But very few people knows it in and out. So let us learn it like never before, so let us start :

SDLC is the Framework, process ,model, Guidelines or approach which describes the activities performed at each stage of a software development project.

Don’t get confused with lot many jargons or words here these are all the same and means same. it just a case that different people are using these words interchangeably.

In the upcoming sessions I might refer it as SDLC process or sdlc framework or sdlc method ,then understand that I am referring to base that is SDLC .

Basically these frameworks, processes model guidelines are the time tested solutions to the past problems which people encountered during software development , and some people documented it for others to follow to avoid those problems.

So on high level the SDLC model look like this. It is compose of 7 stages , at some places you might see people showing 6 stages and that is fine . The first phase which I have shown here that phase they would have merge with the second phase because there is very thin line of difference between them, we will see it in the upcoming session.

Now let us see what happens at each step at high level. First step of SDLC is Analysis and planning in this phase customer will analyze their teams workings and come up with Project plan, Requirement, budget .

second phase is about Requirement gathering in this phase customer will provide the detail requirements to the project team who will going to work on that project

Third step is Design and prototyping : Project team will go through the requirements and come up with the designs and prototypes which shows customer how their final product looks like.

Forth phase is Software development, post customer approval in Design and prototype phase, Project team will start coding work.

Fifth phase is Testing : in this phase coded functionalities will be tested thoroughly.

Sixth phase is Deployment once testing completed application will be deployed to server means it is released for the customer for use.

Seventh phase is maintenance and updates , Post releasing project for customer or public they will keep on discovering new functionalities or bugs in the existing functionalities ,these new use cases or requirements and bugs will be provided to Project team for fixing. Bus will be fixed and updates will be release in the application however the for new requirement entire SDLC cycle will be repeated

SDLC is not a one-size-fits-all solution and there are different methodologies, models such as Waterfall, Agile, Scrum, DevOps etc. depending on the project and organization. It is also not a linear process, as feedback and changes can happen at any stage of the process. It's not a one-time process, the software may pass through multiple SDLC cycles over its lifetime.

This is very high level view ,but in the upcoming session will see what exactly happens at the deep level at each step. Also i am trying to cover all the concepts which are directly and indirectly getting involved during that phase . so stay tune this course going to give you through knowledge of SDLC.

Analysis and Planning Phase

Let's talk about the exciting first phase of the software development life cycle - the Analysis and Planning phase.

Once the Stakeholders, stakeholders means the party which has the idea or customer who wants to develop it into a software project, requested for the project to vendor company then SDLC process will start and the first phase of SDLC that is Analysis and planning phase will be initiated.

You can say analysis and planning phase is the

process of identifying and defining the problem that the software will solve, and determining the requirements and specifications that the software must meet. And defining the plan on how to execute it successfully.

During this phase, the following activities are typically performed:

1. High level Requirements gathering: This involves identifying the needs and expectations of the customer or end user, and determining the specific requirements and specifications that the software must meet.

2. Feasibility study: This involves evaluating the technical and economic feasibility of the project, and determining if it is viable to proceed with the development of the software.

3. Project scope definition: This involves defining the boundaries of the project, and determining what will be included and excluded from the final product.

4. Project planning: This involves creating a project plan, including timelines, milestones, and resource allocation.

5. Risk Assessment: This involves identifying potential risks that could impact the project and developing a plan to mitigate them.

6. Cost Estimation :Estimating the cost required to execute the project end to end

during this process all the involved and impacted teams, departments like operations, Finance, Security and any third party teams will be consulted for planning.

The outcome of this phase is a clear understanding of the problem that the software will solve, and the requirements and specifications that the software must meet. This information is used to guide the design and development of the software in the next phases of the SDLC.

It's important to note that, this phase is crucial to ensure that the software development project will be successful, a thorough analysis and planning is vital to avoid any issues that may arise during the development process. Stronger we start the executing will be much effortless during later stages of sdlc

now all this analysis and planning is captured and summarized and below artifacts are generated those are :

1. Use Case Diagrams: A use case diagram is a visual representation of the interactions between actors and the system. It helps to understand the functionality of the system and the requirements of the user. High level use case diagrams will be created

2. Flowchart: Flowcharts are diagrams that show the flow of steps in a process. They can be used to represent the flow of the system and the interactions between different parts of the system.

3. Project plan: This document outlines the schedule and budget for the project, as well as the resources that will be required to complete it. It also includes a risk management plan.

4. Project Schedule : Project schedule will be prepare and represented in terms of gantt charts. It shows the start and end dates of tasks, as well as the dependencies between them.

5. Work Breakdown Structure (WBS) : This is a hierarchical decomposition of the project into smaller, more manageable components. It helps to identify the different tasks and deliverables that are required to complete the project.

6. Stakeholder Analysis : This document captures the information about stakeholders and their level of interest, influence, and impact on the project. It helps to understand the stakeholders' needs and expectations.

7. SOW (SCOPE of Work or statement of work ), this is the very much important output document from this phase. this document outlines the tasks, deliverables, and timelines for a project or engagement. It typically includes details such as the scope of the work, project objectives, required resources, and milestones. The SOW is used to define the responsibilities of both the client and the service provider and to set expectations for the project's outcome.

All these artifacts are shared, discussed ,agreed upon and signed off from the stakeholders. if all is well in this phase then the next phase of SDLC will be invoked else project can be terminated at this step.

That's pretty much what happens in the Analysis and Planning phase. So, make sure you take this phase seriously, and give it the attention it deserves. It's the foundation of your software development project!

====================ROUGH WORK===================================

The Analysis and Planning phase of the Software Development Life Cycle (SDLC) is the first phase in the process of developing software. It is the process of identifying and defining the problem that the software will solve, and determining the requirements and specifications that the software must meet.

During this phase, the following activities are typically performed:

1. Requirements gathering: This involves identifying the needs and expectations of the customer or end user, and determining the specific requirements and specifications that the software must meet.

2. Feasibility study: This involves evaluating the technical and economic feasibility of the project, and determining if it is viable to proceed with the development of the software.

3. Project scope definition: This involves defining the boundaries of the project, and determining what will be included and excluded from the final product.

4. Project planning: This involves creating a project plan, including timelines, milestones, and resource allocation.

5. Risk assessment: This involves identifying potential risks that could impact the project and developing a plan to mitigate them.

The outcome of this phase is a clear understanding of the problem that the software will solve, and the requirements and specifications that the software must meet. This information is used to guide the design and development of the software in the next phases of the SDLC.

It's important to note that, this phase is crucial to ensure that the software development project will be successful, a thorough analysis and planning is vital to avoid any issues that may arise during the development process.

The analysis and planning phase is the first phase of the software development life cycle (SDLC). This phase is focused on understanding the problem that the software is intended to solve and determining the best approach for solving it. The main activities of the analysis and planning phase include:

• Requirements gathering: This involves identifying and documenting the specific needs and requirements of the customer or end user. This might include identifying the problem that the software is intended to solve, determining the specific features and functionality that are required, and identifying any constraints or limitations that must be considered.

• Feasibility study: This involves evaluating the technical, operational, and economic feasibility of the proposed solution. It helps to determine whether the proposed solution is viable and whether it can be developed within the available budget and time constraints.

• Risk assessment: This involves identifying and evaluating the potential risks associated with the project, including technical risks, schedule risks, and resource risks.

• Project planning: This involves developing a detailed project plan, including timelines and milestones, resource allocation, and budgeting.

The outcome of this phase is a comprehensive project plan that outlines the goals, objectives, and approach for the project, as well as an understanding of the requirements and constraints that must be considered during the development process.

This phase is crucial as it lays the foundation for the rest of the SDLC, it helps to set the direction of the project, and helps to minimize the risk of failure by identifying potential issues early on.

The analysis phase and planning phase of the software development life cycle (SDLC) are closely related, but they have distinct focuses and objectives.

The analysis phase is focused on gathering and understanding the requirements for the software system. This includes communicating with stakeholders, such as end users and project managers, to determine their needs and objectives for the system. The end goal of the analysis phase is to create a clear and comprehensive set of requirements for the system, which will serve as the foundation for the design and development phases.

The planning phase, on the other hand, is focused on developing a plan for how to build the software system based on the requirements defined in the analysis phase. This includes determining the resources (e.g., personnel, equipment, budget) needed to complete the project, and defining a schedule for the project. It also involves identifying any potential risks that may impact the project and creating a plan to mitigate them. The end goal of the planning phase is to create a detailed project plan that outlines how the software system will be developed and implemented.

In summary, the analysis phase is focused on gathering and understanding the requirements, while the planning phase is focused on creating a plan for how to build the software system based on those requirements.

he artifacts of the analysis and planning phases of the software development life cycle (SDLC) are the documents and deliverables that are produced during these phases. Some common artifacts of these phases include:

1. Requirements document: This is a comprehensive document that outlines the requirements for the software system. It should include information about the system's functional and non-functional requirements, as well as any constraints or limitations.

2. Use case diagram: A use case diagram is a visual representation of the interactions between actors and the system. It helps to understand the functionality of the system and the requirements of the user.

3. Flowchart: Flowcharts are diagrams that show the flow of steps in a process. They can be used to represent the flow of the system and the interactions between different parts of the system.

4. Project plan: This document outlines the schedule and budget for the project, as well as the resources that will be required to complete it. It also includes a risk management plan.

5. Gantt chart: A Gantt chart is a graphical representation of a project schedule. It shows the start and end dates of tasks, as well as the dependencies between them.

6. Work Breakdown Structure (WBS) : This is a hierarchical decomposition of the project into smaller, more manageable components. It helps to identify the different tasks and deliverables that are required to complete the project.

7. Stakeholder analysis : This document captures the information about stakeholders and their level of interest, influence, and impact on the project. It helps to understand the stakeholders' needs and expectations.

These artifacts provide a clear and comprehensive picture of the project, and help to ensure that all stakeholders have a common understanding of the requirements and goals for the system. They also serve as a reference for the design and development phases of the SDLC.

The analysis phase, planning phase, and requirement gathering phase of the software development life cycle (SDLC) are closely related, but they have distinct focuses and objectives.

The requirement gathering phase is focused on identifying and documenting the needs and objectives of the stakeholders for the software system. This includes communicating with stakeholders, such as end users and project managers, to understand their requirements, constraints, and expectations. The end goal of the requirement gathering phase is to gather all the necessary information to define the requirements of the system.

The analysis phase, builds on the requirements gathered in the requirement gathering phase and is focused on understanding, analyzing and validating the requirements. This includes reviewing and refining the requirements gathered in the requirement gathering phase, identifying any gaps or inconsistencies in the requirements, and creating a clear and comprehensive set of requirements for the system.

The planning phase, on the other hand, is focused on developing a plan for how to build the software system based on the requirements defined in the analysis phase. This includes determining the resources (e.g., personnel, equipment, budget) needed to complete the project, and defining a schedule for the project. It also involves identifying any potential risks that may impact the project and creating a plan to mitigate them. The end goal of the planning phase is to create a detailed project plan that outlines how the software system will be developed and implemented.

In summary, the requirement gathering phase is focused on identifying and documenting the needs and objectives of stakeholders. The analysis phase is focused on understanding, analyzing, and validating the requirements, while the planning phase is focused on creating a plan for how to build the software system based on those requirements.

WBS stands for Work Breakdown Structure. It is a hierarchical decomposition of the total scope of a project into smaller, more manageable components. In software development, a WBS is used to organize and define the deliverables of a project, breaking them down into smaller, more specific tasks that can be easily tracked and managed. The WBS helps to ensure that all necessary tasks are identified and included in the project plan, and can also be used to estimate project duration and costs

Challenges of Analysis and planning phase of SDLC

Are you and your team involved in software development? Then you must know this ,that the analysis and planning phase of the software development life cycle (SDLC) can present several challenges. But fear not, because by keeping an eye on these challenges, you can benefit greatly.

Few major challenges are :

First , gathering complete and accurate requirements can be a daunting task.

This is a very early stage, customer will have just idea on their mind and they committed that they want to develop it into a projects , so sometime It can be difficult to ensure that all customer himself will have a clear understanding of the requirements for the software system, and that all requirements have been gathered and documented by the project team.

Second, managing changing requirements can add complexity and delay the project. Stakeholders may change their minds about what they want the software to do during the development process.

Third, misaligned expectations can cause a disconnect between what the stakeholders expect the software to do and what the development team believes is possible. sometimes customer used to do certain task in certain way but when we try to build the software around it, customer might need to change the way they used to do the certain task. it is some time hard to align them with the new way of doing task.

Fourth, underestimating complexity and development time can be a tricky task. It can be difficult to accurately estimate how long it will take to develop the software and how much it will cost, especially if the requirements are incomplete or unclear. and basic human tendency is like something looks easy unless it is done, from this mindset development team might quote less time but when they actually start working they realize it will take huge time.

Fifth, identifying and managing risks can be challenging. It can be difficult to identify and mitigate potential risks that may impact the project, such as budget constraints, personnel issues, or technical challenges.

Finally, poor communication between stakeholders, the development team, and the project manager can lead to misunderstandings and errors.

To overcome these challenges, it is important to have a well-defined SDLC process in place with clear roles and responsibilities for all stakeholders. Frequent communication and review sessions throughout the development process are also essential.

The use of agile methodologies and project management tools can help to mitigate these challenges to more extent.

So don't let these challenges discourage you. By implementing the right strategies, you can successfully navigate the analysis and planning phase of the SDLC, and create software that meets the needs of all stakeholders. We will delve into these strategies in detail as we progress through this course.

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The analysis and planning phases of the software development life cycle (SDLC) can present several challenges. if you or your team involved in the process of analysis and planning then then keeping the eye on these challenges will benefit a lot, some of the major challenges are :

1. Gathering complete and accurate requirements: This is a very early stage, customer will have just idea on their mind and they committed that they want to develop it into a projects , so sometime It can be difficult to ensure that all customer himself will have a clear understanding of the requirements for the software system, and that all requirements have been gathered and documented by the project team.

2. Managing changing requirements: During the development process, stakeholders may change their minds about what they want the software to do, which can add complexity and delay the project.

3. Misaligned expectations: There may be a disconnect between what the stakeholders expect the software to do and what the development team believes is possible.

4. Underestimating complexity and development time: It can be difficult to accurately estimate how long it will take to develop the software and how much it will cost, especially if the requirements are incomplete or unclear.

5. Risks identification and management : It can be difficult to identify and mitigate potential risks that may impact the project, such as budget constraints, personnel issues, or technical challenges.

6. Lack of communication: Poor communication between the stakeholders, the development team, and the project manager can lead to misunderstandings and errors.

To overcome these challenges, it is important to have a well-defined SDLC process in place, with clear roles and responsibilities for all stakeholders, and to have frequent communication and review sessions throughout the development process. The use of agile methodologies and project management tools can also help to mitigate these challenges. these things we will understand in detail when we go further in this course.

Sample SDLC Process timeline and Schedule

In this session, we'll be taking a look at a sample SDLC process timeline and schedule that will give you a better understanding of what to expect when working on a real software development project.

Now, let me make one thing clear: there's no one-size-fits-all approach when it comes to SDLC timelines and schedules. Every company has their own standards and processes that they follow in making these artifacts document. However, what I'm about to share with you is a sample timeline and schedule that closely resembles the template used by many companies.

but the thumb rule is you capture the timelines and highlight all the things which will impacts your timeline. and keep these stuff as simple as possible, because simplicity is the ultimate sophistication. even i am not hesitating to say that, if you are creative enough to make these schedule more simple then feel free to create your own template no need to use the one which i have demonstrating.

over internet you will find lot of complex templates for project plan and schedule ,but i don't understand the point behind making them complex and spending hell lot of time behind updating it. keep as simple as possible. that is the key.

Usually the gantt charts are used to describe the schedules. A Gantt chart is a horizontal bar chart used in project management to visualize project timelines and dependencies. It helps project managers track progress, identify delays, and manage resources efficiently.

now let us see the sample software development project timelines or schedule

the first schedule which you are seeing now is very commonly used in among software projects.

here you can see on the left hand side ,we will list down all the phases of our software development and on the right side a kind of gantt chart which will show us the timeline for completion of that phases in terms of horizontal bars. so if you see, this kind of schedule will clearly time bound all the stages of SDLC.

here you can add all the phases which are applicable as per the company standards and needs no restriction at all.

then one more schedule timeline i have for you is this , this is a kind of the detail plan which will list down WBS number ,task name, assigned to then start date end date deadline, progress duration estimated hours ,status priority , then task description , cost, ..dependencies.

then next most used development timelines schedule i have for you is this , in this we will list down all the epics or userstories or module s on the left side and again gantt chart on the right side .

and each bar represent how much time will be needed for each task to complete.

this kind of schedule mostly getting used in the agile type of SDLC. in this schedule you will get the visibility of how the development team going to work on the project feature wise, or module wise

A project charter is a short document used in project planning to outline the key aims and benefits of a project . It's an at-a-glance guide to why a project is taking place.

SOW Overview

The SOW is a powerful document prepared in the analysis and planning phase of SDLC that helps define the scope of a project, outline its objectives, and establish clear expectations for all parties involved. Think of it like a roadmap that guides the team from start to finish, ensuring that everyone is on the same page and working toward the same goals.

But why is the SOW so important? Well, imagine trying to build a house without a blueprint. Sure, you could probably get started, but you'd likely encounter all sorts of issues along the way. Maybe the rooms aren't the right size, or the plumbing isn't installed correctly. Without a clear plan, you're setting yourself up for failure.

The same goes for software development. Without a well-defined SOW, you risk missing important features, creating bugs, or even failing to meet your client's expectations. But with a strong SOW in place, you can avoid these pitfalls and set yourself up for success.

So what should you include in your SOW? There are several key sections that you should consider, including:

• An introduction that provides an overview of the project and its purpose

• Project objectives that outline the goals of the project

• A scope of work that defines the specific tasks and activities to be performed

• Deliverables that list all items the development team will provide

• Milestones that establish key deadlines and checkpoints

• Project management approach that describes how the project will be managed

• Resources required to complete the project

• Acceptance criteria that outline the criteria that the software must meet to be considered complete

• Assumptions and risks that identify any potential issues or challenges that may arise

these are most mentioned sections you can see in the SOW however if you are working in some critical project or some start up project some innovating kind of project then you might see some more applicable sections will be included.

By including these sections in your SOW, you can ensure that everyone is on the same page, working toward the same goals, and has a clear understanding of what's expected of them.

But perhaps the most important part of the SOW is its ability to build trust and confidence with your client. When you take the time to create a well-defined SOW, you demonstrate that you're serious about the project and committed to its success.

So SOW template is also not one size fits all template , as per the nature of the project the content will vary.

in the next session we will review sample SOW document template to give you a idea how it looks like and will also talk about the sections which we can consider including ,so stay tune.

we have seen that the one of the MOST important output of Analysis and planning phase is SOW document that is statement of work document,

in this session we are going to understand it in depth, what it is and what all sections it has:

So SOW is statement of work some people will refer it as Scope of work.

In simple terms SOW is the formal agreement between the client and vendor company .

It defines what's included in the project and what not . If i want to give you near by analogy it is like the rental agreement which will outline terms and conditions for your stay, what you can not ,what you are not, how you should provide rent etc.

similar is the case with SOW

Statement of work sets and align expectation , it can contains all kind of detail

it starts with why are we doing this project, goal purpose then what are deliverables, what works needs to be done ,Process, Defining what's acceptable ,what's not , Clarifying the price , timeline , invoicing schedule, what are the assumptions considered and lot more. You can add all the terms and conditions which you feel are part of the project, you can add that but it is always good practices to keep it as lean as possible.

It can have below sections :

1. Introduction

• General Services — The kind of work you’re going to do for the client (strategy, service design, web design, content strategy, media buying etc.)

• Payment Terms — How you’ll get paid, when you’ll get paid, the rate you’ll be paid at, what expenses are covered and which aren’t

• Audits — How the client can ask you to prove you’re doing your job such as reviewing timesheet reports

• Confidentiality — What you can and can’t say about the work you’re doing, to whom, and the implications if you say something you shouldn’t

• Proprietary Rights — Who owns what when the job’s done (usually the sticking point is who owns the layered design files and code)

• Term and Termination — How long the agreement lasts, who can end the agreement, for what reason, and what the implications or costs are

• Representations — Ensures you can do the work, you’re not in conflict with other agreements

• Warranties — What you’ll fix if whatever you make is broken and your fault

• Project Management — What the roles for project managers on both sides will be

• Support/Deployment — What assistance you’ll provide the client with implementation, and what additional support you’ll provide moving forward.

Bottom Up Estimation

Welcome back, we are about learn the very first method of budget or cost estimation that is bottom up estimations.

Have you ever planned a road trip and tried to estimate the total cost of the journey? You may have broken down the trip into smaller, more manageable segments and estimated the cost of each one individually - this is essentially what the bottom-up estimation technique does for software projects!

For instance, Consider the company wants to build the ECommerce website. The bottom-up estimation technique would involve identifying all the individual tasks or components that are required to deliver the app - such as

Designing the user interface, building the shopping cart functionality, and integrating payment gateways. Each task would then be estimated individually, based on factors such as the time and resources required, the complexity of the task, and any other relevant details.

Once all the estimates for each task have been made, they are added up to give an overall cost for the project. This method is considered to be more accurate than other techniques because it takes into account the specific details of the project. Plus, if the project scope or requirements change during the development process, the bottom-up estimation technique allows the team to track the cost and effort of the changes, and adjust the budget accordingly.

However, it's important to note that bottom-up estimation can be time-consuming and resource-intensive, especially for larger and more complex projects. Despite this, the level of detail provided by this technique is worth it to ensure that the project budget is as accurate and realistic as possible.

Top Down Estimation

Imagine you want to build a house, but you don't have any detailed plans or blueprints yet. With the top-down estimation approach, you could start by estimating the overall cost of building the house based on your knowledge and experience. For example, you may know that building a house of a certain size and in a particular area typically costs a certain amount.

Next, you can break down the overall cost of the house into smaller components. This may include the cost of the foundation, framing, roofing, electrical, plumbing, and so on. You may estimate the cost of each component based on your knowledge and experience, and adjust the estimates as you gather more detailed information.

Coming to our IT world

Top-down estimation method, involves estimating the overall cost of the software project based on high-level information and then breaking it down into smaller components. This method is particularly useful for projects where detailed information about the tasks and components is not yet available.

The process typically starts by getting input from experts in the field, such as project managers, developers, or other stakeholders, to estimate the overall cost of the project based on their experience and knowledge. Hence this method also sometimes refer as Expert Judgement method. This estimate is then broken down into smaller components, such as tasks or Deliverables, and a cost estimate is made for each one.

In the context of an e-commerce website, a top-down estimation could involve estimating the overall cost of building the website based on industry benchmarks and standards, and then breaking down the overall cost into smaller components such as website design, development, hosting, security, and so on. The estimates can then be refined as more detailed information becomes available.

However, it's important to note that the top-down estimation approach is not as accurate as other methods, such as the bottom-up estimation, which involves estimating the cost of each individual task or component. The top-down method is quick and easy to perform, but it may not take into account all the specific details of the project.

Three-point estimation

Three-point Estimation:

Three-point estimation method, also known as the "PERT" (Program Evaluation and Review Technique) method, involves estimating the best-case, most likely, and worst-case scenarios for the cost of a software project and then using statistical analysis to calculate a final estimate. This method is particularly useful for projects that have a high degree of uncertainty or for which it is difficult to make accurate estimates.

The process typically starts by identifying all the tasks or components of the project and then making estimates for the best-case, most likely, and worst-case scenarios for the cost of each one. The best-case scenario is the lowest possible cost estimate, the worst-case scenario is the highest possible cost estimate, and the most likely scenario is the most probable cost estimate.

Once all the estimates have been made, they are used to calculate a final estimate using a statistical technique such as the PERT formula. This formula takes into account the best-case, most likely, and worst-case scenarios and calculates a weighted average that reflects the uncertainty of the project.

The benefit of this method is that it provides a range of possible costs for the project, rather than a single point estimate. This allows project managers to better understand the uncertainty associated with the project and make more informed decisions. However, it can be time-consuming and resource-intensive to complete all the necessary estimates, and it also requires a good knowledge of statistics and probability.

It's also important to note that, during the project, three-point estimation allows to track the project progress and adjust the budget accordingly based on the best, most likely and worst-case scenarios.

one example of a statistical analysis that can be used in the Three-point estimation method is the PERT formula. PERT stands for "Program Evaluation and Review Technique" and it is a statistical tool that can be used to calculate a final estimate for the cost of a project based on the best-case, most likely, and worst-case scenarios.

The PERT formula is:

Estimate = (Best Case + 4 x Most Likely Case + Worst Case) / 6

The formula calculates a weighted average of the three scenarios, with the most likely scenario carrying a weight of 4, while the best-case and worst-case scenarios carry a weight of 1.

For example, let's say the best-case scenario for a software project is $50,000, the most likely scenario is $75,000, and the worst-case scenario is $100,000. Using the PERT formula, the final estimate for the project would be:

Estimate = ($50,000 + 4 x $75,000 + $100,000) / 6 = $83,333

This final estimate takes into account the uncertainty of the project and provides a more realistic estimate of the cost than a single point estimate. as it takes into account the best-case and worst-case scenarios as well as the most likely scenario. It allows project managers to plan for contingencies and allocate resources accordingly.

Analogous Estimation

In this session we are going see cost estimation method called Analogous estimation

first thing i want you to focus on is word Analogous; the root word here is Analogy. analogy means similar

so analogous method of cost estimation is the method to evaluate the cost of the project based on the similar kind of project done in the past. so historical data is important here

To give you example.

let us take the example of construction company, they got a project to build a villa of 2 floors in Bangalore, and they want to estimate the cost.

so they will start finding the historical projects company has worked upon, which are similar in terms of size, shape, Luxury etc. and among those they will select 3 such projects which are very much similar to size shape luxury.

now who will decide that the new project is similar as the past projects , its experts hence this method uses the expert judgement method internally to some extent.

now company will start gathering the actual cost of those past three projects with respect to foundation, framework, construction, painting, electricity ,plumbing etc. They would then use this data to calculate an average cost for each room in the past project

Finally, the company would use the average cost for each room and multiply it with the rooms in the new villa and arrive at the cost.

now let us say the owner of the new villa project says that he wants the windows and doors of the villas is of wood instead of glass ,then the estimates will be adjusted accordingly. there is the scope of adjustment in this method.

In this method no mathematical or statistical model will be developed to bring the exact cost, it involves less calculation and more on the judgement.

what ever we have seen till now Same way it will work for the IT projects.

For example : let us say a company wants to build the Ecommerce website.

so analogous estimation start with finding out the historical similar projects company has worked on which are similar in terms of SCOPE SIZE and FUNCTIONALITY. among those they will select three very similar projects.

Next, the company would gather data on the actual cost of each of the selected past projects, including development, testing, and deployment costs. They would then use this data to calculate an average cost per feature for each past project.

Finally, the company would use the average cost per feature from the past projects as a basis for estimating the cost of the new project. They would multiply the average cost by the number of features of the new app to arrive at an estimated cost.

and as per the differences in the new project the cost will be adjusted accordingly .

this is the way the analogous estimation will work

Few challenges of analogous method is :

1. Subjectivity :Analogous estimation is based on the subjective opinions and experiences of experts, which can introduce bias into the estimation process. This can lead to inaccurate estimates and potentially costly project overruns.

2. Limited data: Analogous estimation relies on historical data from past projects, which may not be readily available or may be incomplete. This can make it difficult to draw accurate conclusions and may lead to overly optimistic or pessimistic estimates.

3. Differences in projects: Even if two projects appear to be similar, there may be differences in scope, complexity, or other factors that can affect the estimation process. Experts may not always be able to account for these differences, leading to inaccurate estimates.

4. Expert Availability: Finding experts with relevant experience and expertise may be difficult, particularly for specialized or niche projects. This can limit the usefulness of analogous estimation as a technique.

5. : Because analogous estimation is based on expert judgment, it can be difficult to explain the reasoning behind the estimates or to demonstrate their validity. This can make it harder to gain buy-in from stakeholders and may lead to skepticism or resistance.

So this is all about Analogous method it is good for the project where we don't have all the requirements and we have less time to estimate.

The Analogous Estimating method is based on the assumption that similar projects will require similar levels of effort and resources. This technique is often used when there is limited information available about the project, or when there is a need to estimate a project quickly.

The process of Analogous Estimating involves the following steps:

1. Identify a similar project: The first step is to identify a project that is similar to the current project in terms of scope, size, and complexity.

2. Collect historical data: The next step is to gather data from the identified project, such as project plans, cost estimates, and timelines.

3. Adjust for differences: Once the data has been collected, it is important to adjust the estimates for any differences between the current project and the historical project. For example, if the current project has more complex requirements than the historical project, this should be taken into account when estimating the effort required.

4. Apply the estimate: Finally, the estimate is applied to the current project. The estimate may need to be adjusted further based on any specific factors that are unique to the current project.

Analogous Estimating can be a useful technique for quickly estimating the cost, effort, or duration of a project. However, it should be used with caution, as it relies on the assumption that the historical data is relevant and accurate. If the historical data is not a good match for the current project, the estimate may be inaccurate.

Parametric Estimation:

Parametric estimation is a software cost estimation technique that involves using statistical models and historical data to estimate the cost of a project. This method uses the relationship between the project parameters and cost to derive an estimate.

In parametric estimation, project parameters are identified and measured, such as size, complexity, and functionality. The historical data is then analyzed to find a statistical correlation between the parameters and cost. Once this correlation is established, a mathematical model is developed to estimate the cost of the project based on the identified parameters.

To give you simple example :

have you anytime planned a trip, i am sure you would have .

if we try to estimate the cost with parametric way then first we will figure out the relationship between trip parameters and the cost.

for example one such parameter is distance, if distance increases cost increases. let us say you are planning a trip of 3000 KM

Now we will use some historical data like what is the mileage your vehicle gives 30KM per liter and fuel per liter price is for example 3$

so total fuel cost ;=(3000/30) * $3 =$300

so similar way you can estimate the cost for Lodging, food and other expense.

and at the end sum up all these and you will arrive at the total cost of the trip. if someone asked you to explain why this much cost , then you have sufficient data to quantify your results. this is a good thing about this method.

this is the parametric cost estimation method.

some of you might be thinking is this looking similar to bottom up estimation ,but there is difference between them

In Bottom-up, estimating starts by breaking the project down into individual activities and then having a subject matter expert create estimates for each activity , we have seen this we have not derived any mathematical model to calculate the cost, we were just estimating .

however Parametric estimation relies on a mathematical model to predict project costs based on selected project characteristics

Same way it works in the IT projects :

For example, for ecommerce site , the IT company would identify the project variables that have a statistical relationship with cost, such as the number of features, payment gateway integration, and shipping options. They would then gather data on the cost of past e-commerce projects and analyze the relationship between these variables and the project cost.

Using this data, the company would develop a mathematical formula or cost model that describes the statistical relationship between the project variables and the project cost. For example, they may determine that the cost of an e-commerce website is proportional to the number of features, payment gateway integration , and shipping options, and can be modeled using the formula: Cost = a × Number of Features+ b × Number of payment gateway integration options + c × Shipping Options, where a, b, and c are coefficients derived from the historical data.

By using parametric estimation, the IT company is able to estimate the cost of the new e-commerce website based on a statistical relationship between project variables, rather than relying solely on historical data from similar past projects.

Another approach for parametric estimation is to use a cost index. A cost index is a value that represents the change in cost over time for a particular type of project or task. By using a cost index, you can adjust historical cost data to reflect the current cost environment, and use this data to estimate the cost of the current project.

some of the challenges of Parametric estimation:

1. Time Consuming: Parametric estimating can be time-consuming and costly, especially when planning or running a complex project.

2. Quality of Data :Quality of historical data can be problem sometime

3. Model Complexity :Parametric estimation models can be complex and difficult to understand, particularly for stakeholders who are not familiar with statistical modeling techniques.

4. Changes in Technology or Process :Parametric estimation models may become outdated if technology or processes change significantly between the time the model is developed and the time the estimates are needed. This can lead to inaccurate estimates and potentially costly project overruns.

5. No Room for Creativity: using parametric estimation for coding can lead to inaccurate results, as each line of code may require vastly different amounts of thought and creativity.

so this is all about the parametric estimation.

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For example, in an e-commerce project, the parameters that may be considered for cost estimation could include the number of web pages, number of product categories, and number of payment methods supported. Historical data from similar e-commerce projects can be analyzed to establish a statistical correlation between these parameters and project cost. The mathematical model can then be used to estimate the cost of the new project based on the identified parameters.

Parametric estimation is considered to be a more accurate and reliable method of estimation because it is based on statistical analysis of historical data. However, it requires a significant amount of data to be accurate, and the accuracy of the estimate is heavily dependent on the quality and relevance of the historical data used.

to give you more understanding of what is this statistical and historical data let me give you a anology

Imagine you are planning a road trip from New York to Los Angeles. You want to estimate the total cost of the trip, including gas, food, lodging, and any other expenses.

Using the parametric estimation method, you could use a formula that takes into account the distance between the two cities, the average fuel efficiency of your car, the cost of gas per gallon, the estimated cost of food and lodging per day, and any other relevant factors.

For example, if you estimate that the total distance is 2,800 miles, your car's fuel efficiency is 30 miles per gallon, and gas costs $3 per gallon, you can estimate the total cost of gas for the trip as:

Total gallons of gas = Total distance / Miles per gallon = 2,800 / 30 = 93.33 gallons Total cost of gas = Total gallons of gas x Cost per gallon = 93.33 x $3 = $280

Similarly, you can estimate the cost of food and lodging per day based on the average prices of restaurants and hotels along the way.

By using this formula and plugging in the relevant variables, you can get a relatively accurate estimate of the total cost of your road trip. This is similar to how the parametric estimation method uses historical data and statistical models to estimate the cost and duration of software projects.

Requirement Gathering Phase

Welcome to the second most important phase of SDLC that is Requirmetn and gathering phase.

The requirement gathering phase of SDLC is a crucial step in bringing a new project or product to life. It involves the exciting and challenging task of uncovering and documenting the unique requirements and specifications that will ultimately shape the success of your endeavor.

there is a difference between Requirements and .

Requirements are high-level statements of what a software system should do, and they define the scope of the software development project. They capture the needs and goals of the stakeholders, such as customers, users, and business owners. Requirements are often written in natural language and are open to interpretation.

On the other hand, specifications are more detailed and provide a clear description of how the software should behave or operate. They provide a blueprint for the development team to build the software system. Specifications are usually more technical in nature and often include diagrams, charts, and other visual aids to describe the behavior of the software.

Here's an example to illustrate the difference between requirements and specifications:

Requirement: The software system must be able to process orders from customers.

Specification: The software system should have a user interface that allows customers to enter their order details, such as item name, quantity, and delivery address. The system should then calculate the total cost of the order, including taxes and shipping fees, and generate an order confirmation for the customer.

In this example, the requirement is a high-level statement that describes what the software system should do, while the specification provides more detailed information about how the system should behave to meet the requirement.

so conclusion is just Requirements are not enough to develop the system we need specification as well.

so Let us come back now and try to answer some basic question here ?

How Requirements are captured?

Capturing requirements in detail is the first and most crucial step in software requirement gathering. The more detailed and comprehensive the requirements, the better the chances of delivering a successful project. To capture requirements in detail, the following best practices are recommended:

1. Use Multiple Elicitation Techniques: Use multiple elicitation techniques to gather requirements, such as interviews, workshops, surveys, focus groups, and brainstorming sessions. Each technique has its advantages and disadvantages, and using a combination of techniques can provide a comprehensive view of user needs.

2. Engage Stakeholders: Engage stakeholders from different departments, such as business, IT, marketing, and operations, to ensure that all requirements are captured. Engaging stakeholders also promotes collaboration, transparency, and buy-in.

3. Define User Personas: Define user personas to represent the different types of users who will use the software application or system. User personas help to understand the user needs, preferences, and behaviors, and tailor the requirements accordingly.

4. Use User Stories: Use user stories to capture requirements in a concise and simple format that describes the user needs, the benefit, and the acceptance criteria. User stories help to prioritize requirements based on user value and promote a customer-centric approach.

5. : Analyze and validate requirements to ensure that they are complete, clear, concise, and feasible. Use tools such as requirements traceability matrix, use cases, and prototypes to validate requirements and ensure that they are aligned with the project objectives.

Customer

The stakeholders should be included in the requirement gathering phase are:

1. Customers: Customers are the primary users of the software, and their needs and expectations should be captured during the requirement gathering phase.

2. End-users: End-users are the people who will be using the software on a daily basis, and their input is essential to ensure that the software meets their needs and is user-friendly.

3. Business owners: Business owners are the ones who are funding the software development project, and their input is necessary to ensure that the software meets the business objectives and aligns with the overall strategy.

4. Subject matter experts: Subject matter experts are individuals who have a deep understanding of the industry or domain in which the software will be used. They can provide valuable insights into the requirements and help ensure that the software meets industry standards and best practices.

5. Developers: Developers are the ones who will be building the software, and their input is necessary to ensure that the requirements are feasible and can be implemented within the given timeframe and budget.

6. Testers: Testers are the ones who will be testing the software to ensure that it meets the requirements and is free of bugs and errors. Their input is necessary to ensure that the software is fully tested before release.

It's important to involve all of these stakeholders in the requirement gathering phase to ensure that the software meets everyone's needs and expectations.

now let us answer what kind of requirements will be gathered in this phase :

There are several types of requirements that are gathered during the requirement gathering phase of software development. Some of the common types of requirements are:

1. Functional Requirements: These are the requirements that define what the software system should do or the features that it should have. They describe the functionality that the system must provide to meet the needs of the users and stakeholders.

   for example :Allow users to search for products on the website by entering keywords or browsing product categories.

2. Non-Functional Requirements: These are the requirements that describe the characteristics of the software system that are not related to its functionality. Non-functional requirements include performance, reliability, usability, security, and scalability.

   for example :The website should load in less than 3 seconds, to provide a fast and seamless user experience.

3. Business Requirements: These are the requirements that are derived from the business objectives and goals. They describe how the software system will help the business achieve its objectives and meet its goals.

   for example :The application should allow customers to make online payments through various payment methods such as credit/debit cards, e-wallets, and online banking, to increase sales revenue and convenience for customers. You might see that functional requirements and Business requirements are looking same. but there is minor difference business requirements must have the business objective and goals, this will help dev team to understand why we are doing this.

4. User Requirements: These are the requirements that are derived from the needs and expectations of the end-users. They describe the user's interactions with the software system and what they need to accomplish with it. for example :The application should provide an easy-to-use and intuitive interface for users to navigate and browse products, allowing them to easily find and purchase what they need.

5. System Requirements: These are the requirements that describe the hardware and software infrastructure that the software system must operate on. They define the system architecture, software platform, and other technical specifications. these requirement also referred as technical requirements. for example :The application must be compatible with different browsers and mobile devices, ensuring that users can access the website from any device.

6. Regulatory Requirements: These are the requirements that are mandated by regulations or standards. They describe the compliance requirements that the software system must adhere to. for example :The application must comply with relevant privacy laws and regulations, such as the General Data Protection Regulation (GDPR), to protect user data and privacy.

It's important to gather and document all of these types of requirements to ensure that the software system meets the needs and expectations of all stakeholders and complies with any relevant regulations or standards.

Once this meetings or workshop over, you got the detail requirement and specifications then what next. Some project teams I have seen they will directly start coding work here itself , that is not a good practice ,you can analyze and make your effort estimation or development approaches ready but you should not start concrete work here .

Next step is business analyst will prepare the detail Software Requirement Specification document that is also called as SRS document, SRS document mostly created in waterfall model and rest other SDLC Model except Agile ,if you are following the Agile model then user stories will be created, Agile is more inclined towards no documentation approach .we will see that in detail the upcoming agile session.

This SRS document will have all the Functional and Non Functional requirements defined

SRS document will hold all these information, it act as the single source of truth during entire development. Your project success is majorly depends on the quality of your requirement document. If it is not clear then you need to spend unnecessary time during your next SDLC phases to get clarity from the business users.

At the end of this Phase This SRS document will be reviewed and sign off from the business user just for confirmation that we have documented all the requirements and specifications which you have told us. Fully signed of SRS document is the Final output of this phase.

As I have said every SDLC phase will have defined output .for first phase of analysis and planning SOW was the major output document ,and Requirement phase will have major detailed SRS document signed off by the client is the output.

In the upcoming session we will go through the sample SRS document so that you will have better understanding of what it contains.

So, if you want to ensure that your project or product is a roaring success, make sure you invest the time and effort needed in the requirement gathering phase. You won't regret it!

It is not the design phase, where the requirements are used to create a plan for the solution and where the solution itself is built. It is also not the testing phase, where the solution is tested to ensure it meets the requirements.

Challenges of Requirement Phase

During the requirement gathering phase of the software development life cycle (SDLC), there are various challenges and obstacles that can arise. It is important to be aware of these issues to ensure successful project outcomes.

One significant challenge is the lack of clarity in requirements. Unclear or ambiguous requirements can lead to misunderstandings and miscommunications between stakeholders, causing delays and issues throughout the project.

Another common challenge is Changing Requirements. As the project progresses, business needs and new information may arise, leading to modifications in requirements. This can impact the project timeline and budget, making it crucial to monitor and manage changes effectively.

Incomplete Requirements can also pose a problem. Inadequate or missing requirements can result in a solution that does not meet the needs of stakeholders, making it crucial to identify and address any gaps in requirements early on.

Stakeholder Conflicts are another issue that can arise. Different stakeholders may have varying priorities or requirements, leading to conflicts that can be difficult to resolve. Proper communication and collaboration can help address these conflicts effectively.

Technical Complexity can also present a challenge. Complex technical requirements can be challenging to understand and accurately capture, leading to potential issues during development and testing. It is important to ensure that all technical requirements are well-understood and clearly defined.

User involvement is critical for gathering requirements that accurately reflect the needs of end-users. However, ****can result in solutions that do not meet their needs. Effective communication and collaboration with users can help ensure their needs are properly addressed.

Communication Barriers can hinder effective requirement gathering and understanding. These barriers can include language or cultural differences, making it crucial to ensure clear and effective communication between all stakeholders.

Lastly, Time and Budget Constraints can be a significant challenge. Requirement gathering can be time-consuming and costly, and meeting tight deadlines or limited budgets can be a challenge. Proper planning and prioritization can help manage these constraints effectively.

In summary, being aware of these challenges and obstacles during the requirement gathering phase can help ensure a successful project outcome.

There are several problems or challenges that can arise during the requirement gathering phase of the software development life cycle (SDLC):

1. Lack of clarity: Requirements can be ambiguous or unclear, leading to misunderstandings and miscommunication between stakeholders.

2. Changing requirements: As the project progresses, requirements may change due to evolving business needs or new information, which can impact the project timeline and budget.

3. Incomplete requirements: Incomplete or missing requirements can lead to an incomplete solution that does not meet the needs of the stakeholders.

4. Stakeholder conflicts: Stakeholders may have different requirements or priorities, leading to conflicts that can be difficult to resolve.

5. Technical complexity: Complex technical requirements can be difficult to understand and capture accurately, leading to potential issues during development and testing.

6. Lack of user involvement: User involvement is critical for gathering requirements that accurately reflect the needs of the end-users. However, lack of user involvement can lead to solutions that do not meet their needs.

7. Communication barriers: Communication barriers between stakeholders, such as language or cultural differences, can hinder effective requirement gathering and understanding.

8. Time and budget constraints: Requirement gathering can be time-consuming and costly, and meeting tight deadlines or limited budgets can be a challenge.

These are few of the challenges of requirement and specifications gathering phase. Keeping the eye on them will help you greatly.

Tools/Software's Used in Requirement Gathering

In this session we are going to see the software's and tools mostly used in the industry today which enhance the requirement gathering phase of software development project .

There are a variety of powerful software tools available that can help streamline the process and improve outcomes.

Let's take a closer look at some of the top software tools that can be used during the requirement gathering phase of the SDLC:

1. Microsoft Word: This versatile word processing tool is an excellent option for creating and managing project documentation, including requirements documents.

2. Microsoft Excel: This popular spreadsheet tool is perfect for organizing and analyzing data collected during the requirement gathering phase.

3. JIRA: This comprehensive project management tool is ideal for tracking requirements and managing the development process.

4. Trello: This visual project management tool can help you organize and prioritize requirements and tasks.

5. Confluence: This collaborative wiki tool is a great choice for creating and managing project documentation, including requirements documents.

6. Lucidchart: This powerful diagramming tool is perfect for creating visual representations of requirements, such as flowcharts and UML diagrams.

7. GanttProject: This free project management tool can help you create Gantt charts to visualize project tasks, timelines, and dependencies.

8. IBM Rational RequisitePro: This robust requirements management tool is designed to capture, analyze, and manage requirements throughout the SDLC.

9. SWOT Analysis Tool: This software tool can be used to analyze a project's strengths, weaknesses, opportunities, and threats, which can help inform the planning and risk management process.

10. Mind mapping tools: These tools, such as XMind or MindManager, can help you brainstorm and organize ideas and requirements, which can be invaluable for project planning and requirements analysis.

11. Miro :Miro is the online workspace for innovation that enables distributed teams of any size to dream, design, and build the future together.

12. Azure Devops :Azure DevOps supports a collaborative culture and set of processes that bring together developers, project managers, and contributors to develop software. It allows organizations to create and improve products at a faster pace than they can with traditional software development approaches.

By leveraging the power of these software tools, you can streamline the requirement gathering process, improve communication and collaboration among team members, and ultimately deliver better outcomes for your software development project. So why wait? Give these tools a try today and start seeing the benefits for yourself!

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here are several software tools that can be used in the requirement gathering phase of SDLC. Some of these tools include:

1. Microsoft Word: This is a popular word processing tool that can be used to create and manage project documentation, including requirements documents.

2. Microsoft Excel: This spreadsheet tool can be used to organize and analyze data collected during the requirement gathering phase.

3. JIRA: This is a project management tool that can be used to track requirements and manage the development process.

4. Trello: This is a visual project management tool that can be used to organize and prioritize requirements and tasks.

5. Confluence: This is a collaborative wiki tool that can be used to create and manage project documentation, including requirements documents.

6. Lucidchart: This is a diagramming tool that can be used to create visual representations of requirements, such as flowcharts and UML diagrams.

7. GanttProject: This is a free project management tool that can be used to create Gantt charts to visualize project tasks, timelines, and dependencies.

8. IBM Rational RequisitePro: This is a requirements management tool that can be used to capture, analyze, and manage requirements throughout the SDLC.

9. SWOT Analysis Tool: This is a software tool that can be used to analyze a project's strengths, weaknesses, opportunities, and threats, which can help inform the planning and risk management process.

10. Mind mapping tools: These tools, such as XMind or MindManager, can be used to brainstorm and organize ideas and requirements, which can help with project planning and requirements analysis.

11. Use case modeling tools: These tools, such as Visual Use Case or Enterprise Architect, can be used to create and analyze use cases, which can help with requirements gathering and system design.

These are just a few examples of software tools that can be used in the requirement gathering phase of SDLC. The specific tools used will depend on the needs and preferences of the project team.

In this session let us see the software tools used in analysis planning and requirements gathering phase together.

First thing is in these two phases of SDLC mostly the discussion will happens, the the discussion will happened in workshops in person but if in person not possible then usually in the remote world discussions can happen over video calling application like ZOOM,MS TEAM, slack these are very powerful communication software's as of today.

we have seen lot many brainstorming happens in these two phases so the effective software's used are Xmind, MindMeister, Miro board, any whiteboard tools etc

Which all are the requirements specifications gathered in these phases will be logged initially in the Microsft word or excel or google docs then those are converted to Epics ,user stories in the Jira or Azure devops ,or Trello but jira and azure devops are very famous and widely used project managemetn software today

Jira is from atlassian and azure devops is from microsoft.

if you are eager to know more on what all software i have talked in this session , then you can search them over google.

SRS document

========================================= Now let us see the sample SRS Document, before that Please note that this is not the final document it is just a draft version I have prepared with minimal content to demonstrate how the SRS document is structured and what it contains. So that you should have a basic idea of what an SRS document looks like.

So let us start.

Here you will see the change in history. Every change whatever you do should be logged here so that in the future whoever is referring to this should know who did this change and why he did it.

Then you will see the document approval section. As we have seen at the end of the requirement phase this SRS document will be signed off from the business user. Whoever signed or whatever approval we have taken his name should be mentioned here.

Then on the next page we will see th table of contents

Use case diagrams: describe the user's possible interactions with a system, whoever can be a user of the system his interactions are supposed to be shown here. In our case of daily needs we have the new joint employee and HR people two users.

Activity diagram: An activity diagram portrays the control flow from a start point to a finish point showing the various decision paths that exist while the activity is being executed.

Sequence diagram :A sequence diagram or system sequence diagram (SSD) shows object interactions arranged in time sequence in the field of software engineering. It depicts the objects involved in the scenario and the sequence of messages exchanged between the objects needed to carry out the functionality of scenario.

Entity relationship diagram : An entity relationship diagram (ERD), also known as an entity relationship model, is a graphical representation that depicts relationships among people, objects, places, concepts or events within an information technology (IT) system

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now if you scroll below you will see i have given Use case diagram describing user's possible interactions with a system for our use case .

then Activity diagram : describing control flow from a start point to a finish point showing the various decision paths that exist while the activity is being executed.

then sequence diagrams describing the sequence of messages exchanged between the objects needed to carry out the functionality of scenario

and finally Entity relationship diagram describing a graphical representation that depicts relationships among people, objects, places, concepts or events of the system.

let us scroll more Then next subsection is of data dictionary : in our use cases we have different entities present for example New joinee employee is one of the enitty .

so for all entities there attributes will be listed here .

Forth section is about the External interface requirment which shuld explain in detail about the integration with third party systemd and tools ...

for example we have business validation of validing the bank account number then we can use third party bank api to verify it is called as integration ...all such details needs to be mentioned in this section.

then we will have technical and Non functional requriments here i have clubbed it but you can mentied it separately as well no problem with that

in technical requirment i have given software and technilogy used followed by that some non functional requirments with respect to Performance for example application should work with 100 concurrent user at a time . every page should load in 3 sec

then scalability requirements then security requirments maintainabiltiy usuability ,

then multi ligual support requirments if any

then most important that is auditing and logging requrements and finally Availabily.

the last section is of Open issues . Often after the completion of our project there are some issues which are identified needs more time to fix ,and team was working on it and planning to fix in the next release such issues will be listed here

Difference between Analysis and planning vs Requirement gathering

Thought of keeping this session to highlight the differences between analysis planning and requirement gathering phase. If you are very clear about these two phases then feel free to skip this session. Or you can use this to revise the concepts learned

so let us start.

The analysis planning phase is the initial phase of the SDLC where

The goal of this phase is to determine whether the project is viable and worth pursuing further.

The analysis planning phase includes activities such as Conducting a market analysis, Identifying Project Goals Objectives and scope, Assessing Risks and constraints, and developing a Project Schedule, Checking Feasibility and Cost Estimation.

On the other hand, the requirement gathering phase is the phase of the SDLC where the project team gathers and documents detailed information about the requirements of the project.

The goal of this phase is to determine what the end-users and stakeholders need and expect from the project. The requirement gathering phase includes activities such as conducting interviews, surveys, and workshops with stakeholders to gather requirements, documenting functional and non-functional requirements, and Prioritizing Requirements.

In summary, the analysis planning phase and the requirement gathering phase are both critical parts of the SDLC, but they serve different purposes. The analysis planning phase is about assessing project feasibility and determining project goals ,objectives, scope while the requirement gathering phase is about gathering detailed information about what end-users and stakeholders need and expect from the project.

To provide a real-life example, let's consider the development of a new online shopping platform. In the analysis planning phase, the project team might conduct market research to determine the demand for the platform, assess the feasibility of the project, and identify project goals and objectives. They might also consider factors such as the budget, timeline, and potential risks and constraints.

Once the analysis planning phase is complete, the project team moves on to the requirement gathering phase. In this phase, the team would gather detailed information about the requirements of the platform, such as the types of products to be sold, payment and shipping options, security requirements, and user interface preferences. They might conduct interviews with potential customers and stakeholders, create user personas, and develop use cases to help document the requirements.

In summary, the analysis planning phase and the requirement gathering phase are both critical parts of the SDLC, but they serve different purposes. The analysis planning phase is about assessing project feasibility and determining project goals and objectives, while the requirement gathering phase is about gathering detailed information about what end-users and stakeholders need and expect from the project.

Analysis & Planning Phase vs Requirement Gathering Phase:

1. Analysis & Planning Phase: This phase is focused on defining project goals, objectives, and constraints, as well as identifying potential risks and challenges that might impact the project's success. It involves high-level decision-making, such as determining the project budget and timeline, selecting team members, and outlining the project scope.

Requirement Gathering Phase: In this phase, the project team works to identify the specific needs and requirements of stakeholders. This often involves conducting interviews, surveys, and focus groups to gather information about what the system or product should accomplish, as well as how it should look and function.

1. Analysis & Planning Phase: The focus is on determining the best approach to delivering the project and identifying potential roadblocks that could impact its success. This often involves creating a project plan that outlines the project scope, budget, timeline, and required resources.

Requirement Gathering Phase: The focus is on identifying the specific needs and requirements of stakeholders. This often involves creating a detailed requirements document that outlines the necessary features and functionality of the system or product.

1. Analysis & Planning Phase: This phase is usually carried out by senior-level management or project leads who have a broad understanding of the project's goals and objectives. They often work with stakeholders and team members to ensure that the project is feasible and aligned with organizational goals.

Requirement Gathering Phase: This phase involves working closely with stakeholders and end-users to ensure that the requirements document accurately reflects their needs and expectations. This often involves multiple rounds of review and feedback to ensure that all requirements are captured.

1. Analysis & Planning Phase: This phase is focused on creating a roadmap for the project that outlines the necessary steps to achieve success. This often involves identifying milestones and deliverables and allocating resources to ensure that they are completed on time.

Requirement Gathering Phase: The focus is on defining the specific requirements of the system or product. This often involves creating user stories or use cases that outline how the system will be used and what features it should include.

1. Analysis & Planning Phase: This phase often involves creating a high-level project plan that outlines the scope, budget, timeline, and required resources. It is a strategic phase that sets the direction for the project.

Requirement Gathering Phase: This phase involves creating a detailed requirements document that outlines the necessary features and functionality of the system or product. It is a tactical phase that focuses on the specifics of what the system or product should do.

difference between Analysis & planning phase vs requirement gathering phase

The Planning and Requirements Gathering phases are two separate phases of the Software Development Life Cycle (SDLC), each with its own distinct goals and activities.

The Planning phase focuses on defining the overall goals and objectives of the project, determining the feasibility of the project, and developing a plan for how the project will be executed. This includes identifying project stakeholders, defining project scope, determining project timelines, estimating costs, and establishing project management processes. The main goal of this phase is to create a roadmap for the project and ensure that everyone involved in the project has a clear understanding of what is expected of them.

On the other hand, the Requirements Gathering phase focuses on identifying and documenting the functional and non-functional requirements of the software system. This includes gathering information about user needs, business requirements, and technical specifications. The main goal of this phase is to ensure that the software system meets the needs of its intended users and stakeholders. Requirements gathering involves interviewing stakeholders, conducting surveys, reviewing existing documentation, and prototyping.

In summary, while the Planning phase focuses on developing a project plan and establishing project management processes, the Requirements Gathering phase is concerned with understanding the needs of the users and stakeholders and defining the functional and non-functional requirements of the software system.