Learn defect lifecycle, bug tracking, Quality Assurance (QA) & Quality Control (QC) KPIs, metrics analysis, & reporting
Sub Category
- Software Testing
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Objectives
- Selecting the right QA metrics for your project
- Interpreting trends in test result data
- Aligning QA metrics with business objectives
- Detecting quality issues early using metrics
- Integrating metrics into sprint planning
- Using KPIs to support go/no-go decisions
- Setting metric-based quality gates
- Using data to justify QA resource needs
- Visualizing test progress over time
- Monitoring automation stability with key indicators
- Analyzing root causes of recurring defects
- Supporting team retrospectives with hard QA data
- Driving test strategy with measurable outcomes
Pre Requisites
- General knowledge of software testing principles
- Understanding of QA workflows, whether manual or automated
- Prior use of bug tracking systems like Jira or similar
- Experience working with test management platforms such as TestRail or Zephyr
- A desire to improve QA through data and metrics
- No need for deep coding or statistical skills
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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