test-case-review

To check test case coverage, you compare existing test cases against requirement documents and design artifacts to extract requirement points and map them to validate coverage. This process identifies uncovered gaps and detects quality issues in the test suite.

The best way to find missing test cases during a QA audit is to review existing tests across four dimensions: coverage, completeness, correctness, and quality. This generates a supplementary cases file detailing prioritized remediation for uncovered requirement gaps.

Yes, you can parse JSON or text-formatted test cases to extract requirement points and map them to RP-N items. This allows the review process to ingest structured data inputs alongside optional design documents to generate structured JSON outputs.

Yes, the test case review process handles large files and optional design document fetches. It ingests these sources alongside test cases to ensure comprehensive requirements coverage analysis without file size limitations.

Auditing test cases generates structured JSON and markdown report outputs. Specifically, it produces a review_result.json for detailed findings, a review_summary.md for actionable improvements, and a supplementary_cases.json for uncovered gaps.

You should use automated test case review when comparing test cases against requirement documents during test planning workflows. It efficiently handles large files and structured JSON inputs to produce prioritized remediation suggestions faster than manual audits.