Software Development Processes (SDLC Models)

Introduce the foundation of software development processes, mapping the lifecycle with simple terms and analogies, while overviewing classic models and common industry challenges.

Define the software development life cycle as a linear series of stages from phase a through phase e, ending in maintenance with potential enhancements.

Use a house-building analogy to map the software development lifecycle, from requirements and analysis through design, coding, testing, deployment, and maintenance, highlighting the critical sequence and time, money, and people.

Explore the classic model of the software development life cycle, detailing seven phases—from systems engineering and software requirements analysis to maintenance—and artifacts like SRS, high/low level design, and test plans.

Explore common software industry problems such as poor requirements, miscommunication, unrealistic features and schedules, and lack of documentation, and learn solutions like complete requirements, adequate testing, and strong communication.

Explore SDLC models and learn how to select the right model for a software project using a travel analogy, noting the evolution toward agile and DevOps.

Define the software development lifecycle, using a house-building analogy to clarify the seven-phase classic model, and discuss common industry problems and a list of SDLC models.

Explore the waterfall model and its advantages and disadvantages, guided by the module roadmap, with a wrap-up summary at the end.

Understand the waterfall model in software development, from requirements gathering to design, implementation, verification, deployment, and maintenance, and why strict phase transitions challenge flexibility.

Summarize the advantages of the waterfall model: easy to understand, clear phase boundaries, simple project and resource management, and suitability for small, well-documented projects.

The waterfall model presents disadvantages: rigid, unchangeable requirements and delayed testing after coding, leading to wasted resources; changing requirements and upfront technology decisions hinder project adaptability.

Explore the waterfall model as the fundamental software development model, detailing its classic phases, clear requirements, well-defined milestones, and its suitability for simple projects rather than complex ones.

Explore the V model and its roadmap, understand requirements and their importance. Evaluate the advantages and disadvantages, and end with a quick summary of the V model for the module.

Explore how the V model extends the waterfall by emphasizing testing, mapping left-side requirements and design to right-side acceptance and system testing, and connects business requirements to user acceptance testing.

Explore how business requirements define a software product by distinguishing functional and non-functional needs, with examples like bill payment and user experience, system, geo location, availability, and backups.

Explore the advantages of the V model, highlighting its simplicity, distinct phases, and easy project management similar to the waterfall model, with testing at various phases.

The lecture examines the disadvantages of the V model, noting that clear, complete requirements are rarely practical and changing requirements make rigid, waterfall-like processes unsuitable.

Compare the V model to the waterfall model, noting testing phases and design and testing alignment, and its suitability for small projects, not for complex or large ones.

Explore an overview of ready-to-model industry practices in this module, identify a trading model, and analyze its advantages and disadvantages, with a final summary.

The lecture explains the iterative model, delivering subsets of requirements through repeated cycles of analysis, design, development, testing, and deployment, with feedback guiding subsequent iterations until all requirements are met.

Compare iterative development with the waterfall model, showing how iterations handle small requirement sets and allow changes, starting without complete requirements and easing user management.

Shows how iterative development struggles with incomplete or changing requirements, forcing architecture rework, technology choices, and extra time and resources; each iteration can resemble a rigid waterfall.

Learn how the iterative software development model used in the IT sector delivers functionality in increments and accommodates changing requirements between iterations, contrasting with the waterfall model.

Explore the spider model in this module, delving into iterations and phases, and weighing advantages and disadvantages before concluding with a brief summary video.

Adopt the spiral model, an iterative, risk-focused development approach that uses prototypes, benchmarks, and documentation to mitigate risks, suited for large, complex products.

Explore the spiral model's iterative four-phase cycle: define objectives, identify and resolve risks, develop and test prototypes, and plan the next iteration, delivering deployable software and documentation.

Discover how the spiral model embeds risk management into multiple iterations, emphasizes prototypes, benchmarks, and simulations, and is ideal for large, complex applications and product mix companies.

Examine the spiral model's disadvantages: its complexity and constant requirement changes, creating architectural challenges, with high costs from iterations, simulations, benchmarking, and testing.

Explore the spider model’s risk-aware, iterative approach and its built-in risk management for large projects. Note its complexity and higher cost as this module closes.

Explore the rational unified process, its converged topics, and the module roadmap, covering engineering best practices, phases, iterations, workflow, and the advantages and disadvantages of RUP.

Explore the rational unified process, a configurable, disciplined software development framework built on six best practices, four phases, and nine workflows. It uses UML modeling, artifacts, and templates.

Divide the requirements into small chunks, ensure traceability to sources, apply component-based architectures, visually verify quality, continuously test with stakeholder feedback, and strictly control changes.

Define and validate project scope through the four RUP phases—initiation, elaboration, construction, and transition—driving milestones, use-case models, architecture decisions, and executable prototypes.

Explain the construction phase of the Rational Unified Process, where code is written, architecture is established, and testing, documentation, and release enable the initial operational capability milestone.

Explore how iterations within elaboration and construction phases of the Rational Unified Process reduce risk and improve quality. Understand how predetermined or on-the-fly iterations affect cost, time, and stakeholder approvals.

Understand the six core engineering workflows: business modeling, requirements analysis and design, implementation, test, and deployment. Discover three supporting workflows: project management, configuration change management, and environments.

Explore the advantages of the Rational Unified Process as an iterative framework built on software development life cycle best practices, enabling customization, code reuse, and embedded templates and artifacts.

Explore the disadvantages of the rational unified process, including its unsuitability for small projects, excessive complexity, and heavy reliance on artifacts and UML diagrams.

Explore the iterative rational unified process, emphasizing its customizable four phases (Inception, elaboration, construction, transition) and nine workflows with multiple iterations for large projects.

Explore agile fundamentals, from what is agile to the agile manifesto, outlining its principles, practices, and the advantages and disadvantages in a two-part module roadmap.

Explore what agile is and what it is not, clarifying that agile is not a methodology or process, and that face-to-face meetings or standups alone do not make you agile.

Agile is a set of guidelines, not a methodology, designed to solve evolving software problems by emphasizing customer collaboration, frequent delivery of software, and welcoming changing requirements.

The agile manifesto outlines values: individuals and interactions over processes and tools; working software over comprehensive documentation; customer collaboration over contract negotiation; and responding to change over following a plan.

Agile principles emphasize individuals and interactions, working software, customer collaboration, and embracing change, with early, continuous delivery and daily collaboration between business and developers.

Explore agile practices, values, and principles, and survey frameworks such as Scrum, XP, Lean, Crystal, and DSDM to learn how to select the right approach for software projects.

Highlight the advantages of agile, including high customer satisfaction through continuous delivery of working software, early return on investment through real customer involvement, and emphasized people interactions that welcome change.

Highlight the disadvantages of agile, including architectural challenges with changing requirements, pressure on developers and scrum masters, potential scope creep, ripple effects on architecture, and higher costs from larger teams.

Explore the agile manifesto's four core values and twelve principles, and learn how flexible, fast-adapting, continuous approaches shaped common software development methodologies like Scrum and Extreme Programming.

Explore extreme programming (XP) by outlining its values, principles, practices, rules, activities, and workflows, and learn when to use XP and its advantages and disadvantages.

Discover extreme programming, an agile software development framework that emphasizes high software quality, better team life, pair programming, unit testing, test-driven development, and continuous code reviews.

Explore XP values—simplicity, communications, feedback, courage, and respect—and see how they guide simple, maintainable code, clear collaboration, responsive feedback, and respectful teamwork in software development.

Explore xp principles in extreme programming, focusing on assumed simplicity, rapid feedback, incremental changes, embracing change, and quality work to deliver a solid product that meets customer needs.

Explore xp practices, including test driven development, planning game, onsite customer, and pair programming, organized to emphasize feedback, planning, and collaboration for reliable, high-quality software.

Explore xp practices of continuous integration, automated system integration tests, and daily code pushes, ensuring cross-module compatibility. Learn how code refactoring and small releases enable early feedback and continuous delivery.

Explore xp practices, emphasizing simple design, shared ownership, collaboration, and coding standards to reduce complexity, while system metaphor and work life balance shape sustainable, collaborative development.

Cover the five XP rules—planning, managing, designing, coding, and testing—highlighting iterative release planning, sustainable velocity, CRC cards, spike solutions, refactoring, and test-driven development.

Explore XP activities—coding, testing, listening, and designing—emphasizing simple, clear code and test driven development, with listening to customers guiding design.

Explore XP workflows in extreme programming, from user stories and release planning to iterations, acceptance testing, pair programming, refactoring, CRC cards, and architectural spikes.

Extreme programming requires full buy-in from senior management, skilled, motivated teams, and close collaboration; it favors small, co-located teams, test-driven development, and daily feedback to mitigate risks in dynamic projects.

Adopt extreme programming to boost accountability and rapid delivery through daily stand-ups, pair programming, test-driven development, and constant customer feedback.

Explore the disadvantages of extreme programming (xp), including its code-centric focus, minimal design emphasis, undocumented defects, and the pressure on globally distributed teams.

Explore extreme programming principles and activities—coding, testing, listening, and designing—driven by simplicity, rapid feedback, and continuous improvement, including paid programming and test driven development.