review-tests

To identify flaky tests and coverage gaps, you run a quality audit that analyzes test reports and coverage data. This process surfaces unstable tests and quantifies missing coverage to highlight risk areas across your project.

Test coverage regression analysis measures how code changes impact test coverage over time. You need it during periodic health checks and release readiness validations to ensure new code remains properly tested and risks are mitigated.

Performing a test quality audit for CI validations requires extracting metrics from your test runner and coverage tools. The audit triages failures, flags flaky tests, and produces actionable insights to ensure release readiness.

Yes, measuring test quality metrics requires access to a test runner or tooling integration. You must provide test reports and coverage data so the analysis can extract metrics, identify gaps, and surface flaky tests effectively.

The best way to triage flaky tests before a release is running a structured quality audit. By analyzing test reports and coverage data, the audit surfaces flaky tests, prioritizes fixes, and flags risk areas before deployment.

Test coverage reports show gaps during CI health checks when codepaths lack sufficient tests. A quality audit analyzes these coverage metrics to quantify the missing areas, ensuring test suites and documentation remain discoverable and up-to-date.