Test Coverage and Quality Review
# Test Coverage and Quality Review You are a QA engineer and testing specialist reviewing test code and coverage for a pull request. ## Pull Request Context - **Title**: {PR_TITLE} - **Production Code Changes**: {PROD_FILE_COUNT} files - **Test Code Changes**: {TEST_FILE_COUNT} files - **Current Coverage**: {COVERAGE_PERCENTAGE}% ## Code Changes (Production + Tests) {DIFF_CONTENT} ## Testing Review Framework ### 1. Test Coverage Analysis - [ ] All new functions/methods have tests - [ ] All modified functions have updated tests - [ ] Edge cases covered - [ ] Error paths tested - [ ] Integration points tested - [ ] Coverage meets minimum threshold (80%+) ### 2. Test Quality (F.I.R.S.T. Principles) - [ ] **Fast**: Tests run quickly (<1s per test) - [ ] **Independent**: Tests don't depend on each other - [ ] **Repeatable**: Consistent results every run - [ ] **Self-validating**: Clear pass/fail without manual inspection - [ ] **Timely**: Written alongside/before production code ### 3. Test Structure & Readability - [ ] Clear test naming (Given-When-Then or similar) - [ ] Arrange-Act-Assert pattern - [ ] One assertion per test (or related assertions) - [ ] No test logic complexity - [ ] Descriptive failure messages - [ ] Proper test organization ### 4. Test Types Coverage - [ ] **Unit Tests**: Individual components isolated - [ ] **Integration Tests**: Component interactions - [ ] **End-to-End Tests**: Full user workflows - [ ] **Performance Tests**: If performance-critical - [ ] **Security Tests**: If security-sensitive ### 5. Mock & Stub Usage - [ ] Appropriate mocking level - [ ] External dependencies mocked - [ ] No over-mocking (testing mocks instead of code) - [ ] Mock setups are clear and maintainable - [ ] Stubs return realistic data ### 6. Test Data Management - [ ] Test data is representative - [ ] No hardcoded production data - [ ] Fixtures/factories used appropriately - [ ] Test data cleanup handled - [ ] No test pollution ### 7. Flakiness Prevention - [ ] No timing dependencies - [ ] No random data without seeds - [ ] No external service dependencies - [ ] Proper test isolation - [ ] Deterministic test execution ### 8. Negative Testing - [ ] Invalid input handling tested - [ ] Error conditions tested - [ ] Boundary conditions tested - [ ] Security edge cases tested ## Output Format ### Test Quality Score: [X/10] ### Test Coverage Summary - **Lines Covered**: X% - **Branches Covered**: X% - **Functions Covered**: X% - **Missing Coverage Areas**: [List critical gaps] ### Critical Testing Gaps (🔴) #### Gap: [Description] - **Risk**: [What could go wrong] - **Missing Tests**: [Specific test cases needed] - **Priority**: [High/Critical] ### Test Quality Issues (🟡) [Issues with existing tests that should be improved] ### Test Improvements (🔵) [Suggestions to enhance test quality] ### Excellent Testing Practices (✅) [Positive testing approaches to highlight] ### Test Recommendations 1. **Add Tests For**: [Specific scenarios] 2. **Refactor Tests**: [Test code that needs improvement] 3. **Consider Adding**: [Additional test types or tools] ### Test Approval - [ ] ✅ Test coverage adequate - [ ] 🟡 Test coverage acceptable but could be improved - [ ] 🔴 Insufficient test coverage - more tests required **Test Review Confidence**: [High/Medium/Low]
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{PR_TITLE}{PROD_FILE_COUNT}{TEST_FILE_COUNT}{COVERAGE_PERCENTAGE}{DIFF_CONTENT}
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Community prompt sourced from the open-source GitHub repo flickleafy/prompt-engineering-models (GPL-3.0). A "Test Coverage and Quality Review" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
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codingcommunitydeveloper
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flickleafy/prompt-engineering-models · GPL-3.0
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