test-mutation

You can identify undetected test mutations by running a manual mutation analysis workflow that reads source files and tests, applies common code mutations, and documents cases where tests fail to detect the changes.

Manual mutation testing evaluates test effectiveness by intentionally introducing code mutations to see if existing tests catch them. You need it when your test suite passes but you want to ensure it actually catches edge-case logic errors.

To improve test coverage for missed edge cases, apply mutation analysis to find surviving mutations, understand why they evade detection, and implement the targeted test augmentations recommended to catch those specific logic gaps.

Yes, manual mutation analysis is applicable to both library and application codebases provided they have existing test suites. It guides the analysis of source files to improve overall test effectiveness and coverage.

You get test recommendations by documenting each surviving mutation and explaining why it goes undetected by current tests. The analysis workflow then generates targeted test suggestions to catch those specific undetected cases.

The main limitation of manual mutation analysis is the time-consuming effort required to manually read source code and tests to apply mutations. It guides test augmentation through documentation rather than automated execution.