
From this lecture you will learn:
• How to communicate during this course
• Where to ask questions
• How to ask questions
• Communication channels
Why I Created This Bot
The Challenge: From Passive Learning to Real Mastery
The Solution – Learn IT Bot
Inside the Learn IT Bot – Key Features
Adaptive Difficulty & Endless Practice
Live Demo of the Learn IT AI Bot
Why It Matters – From Learning to Real-World Readiness
In this lesson, I’ll show you how my students get exclusive, free, no sign-up access to a one-of-a-kind AI Bot I personally built to help you deeply learn the material, reinforce your knowledge, and gain a real advantage in interviews, real-world work and career growth.
What is a metric
Examples of metrics
When to use metrics
What is a KPI
Examples of KPI
When to use KPI
Metric VS KPI
What is OKR
Examples of OKR
When to use OKR
KPI VS OKR
What is RAG Status
RAG status to present KPI
Why we use RAG status for KPI
What we are going to learn in this section
Why this section is important
Overview of Engineering Excellence Metrics Library
Web Development related examples and use cases
Tech Debt Ratio
Tech Debt Index
Cyclomatic complexity.
Definition
Use cases
How to measure
How to read values and what do they mean
Recommended KPIs
Recommended Actions
Unit Testing
How Unit Tests Work
Benefits of Unit Tests
Challenges and Limitations of Unit Tests
Unit Test Run Success Rate
Unit Test Code Coverage
Incremental Unit Test Coverage
Duplicate Code
Duplicated Lines
Duplicated Blocks
Duplicated Files
Density of Duplicated Lines
Commented Code Index
What is a Code Review
Code Review Feedback Loop Time
Code Reviews Amount
Rules Compliance Index (RCI)
Violations
Differences between RCI and Violations
What is Integration Testing
What is End-to-End Testing
Integration VS End-to-End Testing
Integration Test Coverage
End-to-End Test Coverage
Time to Build (+ Unit Test, + Static Code Analysis)
Build Verification Time
Pipeline Execution Time
Number of Commits Lead to Broken Builds
Change Size
Green Builds %
Red build time
Release Cycle Time
Ready for Release Cycle Time
Ratio of Release Candidates to Releases
Time of Release Candidate Stabilization
Number of Fixes in Release Candidate
Release Candidate Time
Number of Open Defects
Defect Leakage to Production
Defect Leakage to Next Phase Performance
Defect Detection Efficiency
Defects per Severity
Defects per Priority
Defects per Environment
Defects per Root Сause
New Defects Created per Sprint/per specified period
Non-Resolved Blockers
Severity per Number of Bugs Balance
Defect Density
Weighted Number of Submitted Defects
Quality Debt Index %
Bug Fixing Projection
Number of Issues Found During the Test Phases vs. Number of Issues Found in Production During the First 2 Weeks
Defect Reopen
Defect Rejection Rate
Open Defects Change Rate
Defects Removal Efficiency
Defect Resolution Time
Defect Detection-to-Resolution Ratio
Defect Age
Test Execution Coverage
Cost of Poor Quality
Cost of Good Quality
Test Design Coverage
Regression Time
Verified Issues Rate
Pass Rate
Percentage of Product Issues
Percentage of Automation Issues
Percentage of System Issues
Execution Frequency
Execution Time
Average Test Success Ratio
Percentage of Results Analyzed
Automated Regression Testing Effectiveness
Percentage of Automated Tests
Percentage of Test Auto Savings
Begin a transformative journey with my course: "Master Software Development Metrics & KPIs." Dive deep into the world of engineering excellence and clean code design as you learn to set Key Performance Indicators (KPIs) and conduct regular metric assessments.
Course Highlights:
Unlock Engineering Brilliance: Explore crucial metrics that drive software development success.
Establish KPI Mastery: Learn the art of setting Key Performance Indicators to measure your team's progress effectively.
Achieve Code Purity: Delve into techniques for maintaining clean, efficient, and high-quality code design.
Real-World Applications: Gain practical insights on applying metrics and KPIs to elevate your software development practices.
Expert Guidance: Benefit from industry-proven strategies shared by seasoned professionals.
What You'll Achieve: By the end of this course, you will:
Master the use of key metrics in software development.
Confidently set and measure KPIs for continuous improvement.
Elevate your code design skills for optimal performance.
Implement real-world strategies to achieve engineering excellence.
Who Should Enroll:
Software Developers
Engineering Managers
Project Managers
Technical Leads
Software Architects
Quality Assurance Professionals
Anyone passionate about achieving excellence in software development
Take the first step towards engineering greatness! Enroll now and unlock the secrets of mastering software development metrics and KPIs. Your journey to clean code design and engineering excellence starts here.