AI workflows for testing and QA.
Testing software before release: test plans, test runs and defect tracking.
Who does this work
- QA engineer
- Test analyst
- Test automation engineer
Updated
Examples of the workflows identified
- Analyse mutation test survivorsIllustrative
- Write a risk-based test planIllustrative
- Find flaky tests and their likely causesIllustrative
- Triage incoming defect reportsIllustrative
- Write test cases from acceptance criteriaIllustrative
The workflows identified
Marked illustrative: an example of the work, identified, with no workflow template yet.
Analyse mutation test survivorsAn analysis of surviving mutants separating equivalent changes from real test gaps.Illustrative · not built yet
Write a risk-based test planA test plan with test levels, cases and coverage gaps chosen around what could fail.Illustrative · not built yet
Find flaky tests and their likely causesReads test run history to find tests that pass and fail without code changes, with how often, the likely cause and the cost in reruns.Illustrative · not built yet
Triage incoming defect reportsGroups duplicate defect reports, proposes severity and component, and lists those missing reproduction steps, for the QA lead to confirm.Illustrative · not built yet
Write test cases from acceptance criteriaTurns a story's acceptance criteria into test cases with steps, data, expected results and edge cases, and marks criteria too vague to test.Illustrative · not built yet
Workflow templates
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Where to go next
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