Optimization of Regression Tests
summary
Outlines four concrete levers: a two-level approach with per-iteration mini-regressions plus a full-scale pre-release sprint (example: three days before release), a risk-based approach that prioritizes P1/P2 tests, a collaborative dashboard workflow that owners tag by priority, and selective automation of strategic features that reduces future manual time but increases upfront cost and maintenance. Presents traceability and dependency matrix techniques that map feature-to-feature and, by one case, reduce regression time by 30% while improving defect localization.
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chapters (17)
- 0:00Regression test optimization intro
- 1:15Defining optimization
- 3:15Regression testing principles
- 5:35Regression testing types
- 8:15Misconceptions about regression tests
- 11:53Four optimization methods
- 14:48Two-level regression sprints
- 16:41Combining optimization methods
- 19:14Risk-based regression testing
- 22:11Collaboration in regression planning
- 24:53Automation strategies
- 26:54Comprehensive automation
- 31:15Alternative methods with matrices
- 33:55Dependency tracking with matrices
- 37:34Benefits of dependency matrices
- 40:07Matrix-based organization
- 41:20Q&A
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