validate-test-cases

You can validate AI-generated test cases by running a prompt-driven workflow that audits cases, identifies duplicates, uncovers missing scenarios, and suggests quality improvements across a selected project or sections.

The best way to improve test case quality is to execute case validation on the Cases page, set the scope to the entire project or specific sections, and apply the prioritized recommendations from the generated report.

You identify missing scenarios by using an active case-validation prompt that audits your existing test cases against the project data model and generates recommendations to expand overall coverage.

Yes, you can run test-case validation on specific sections. After selecting your target project on the Cases page, you can set the validation scope to either the entire project or a specific section before execution.

Test case validation relies on an active case-validation prompt and integration with the project data model. It operates through a prompt-driven workflow to audit cases and apply changes without requiring external dependencies.

AI-assisted test case validation provides better coverage by systematically analyzing test cases against the project data model to detect duplicates and uncover missing scenarios that manual reviews might overlook.