What You'll Learn
- How to define meaningful QA metrics and KPIs
- Test case execution tracking and analysis
- Measuring test coverage and test effectiveness
- Calculating defect density and leakage rates
- Understanding severity vs. priority in defects
- How to assess test automation ROI
- Tracking and reducing test flakiness
- Using metrics in retrospectives and process reviews
- Identifying and addressing QA bottlenecks
- Metrics for evaluating sprint test readiness
- Prioritizing tests with risk-based approaches
- Leveraging defect trends to optimize coverage
- Calculating mean time to detect and fix defects
- Evaluating automation coverage and execution time
Requirements
- Basic understanding of software testing concepts
- Familiarity with QA processes (manual or automated)
- Experience with defect tracking tools (e.g., Jira, Bugzilla)
- Some exposure to test case management tools (e.g., TestRail, Zephyr)
- Interest in data-driven QA and continuous improvement
- No advanced programming or statistics knowledge required
Who This Course is For
- Manual testers wanting to show the value of their work with data
- Automation test engineers needing to demonstrate ROI and reliability
- QA leads and managers aiming to implement metric-driven processes
- Agile QA professionals aligning testing with fast-paced delivery
- Business analysts and product owners seeking insights into product quality through QA metrics
- Software developers who want to understand QA impact and feedback loops
- Project managers looking to track quality and delivery risk
- Delivery managers focused on release readiness and defect trends
- Engineering managers aiming to improve team performance through data
- Product managers who need to align quality signals with product goals
- Software architects interested in the relationship between system design and defect patterns
Your Instructor
Andrii Piatakha
Founder and CEO in IT-Bulls, Founder of Learn-IT University
4.4 Instructor Rating
49,574 Reviews
1,179,427 Students
73 Courses
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