How to use AI Test Coverage Analyzer
- Paste the requirements or user story in the first box and the existing test cases in the second.
- Press Analyze.
- Review the matrix, then add the suggested missing tests to your suite (the AI Test Case Generator can write them).
AI Test Coverage Analyzer features
- Requirement-to-test traceability matrix with full/partial/none coverage
- Overall coverage percentage and risk per requirement
- Prioritised list of missing tests
- Flags redundant tests that map to no requirement
- Choose English, Arabic or Hindi for the generated text — identifiers, HTTP methods and technical tokens always stay in English.
AI Test Coverage Analyzer example
Coverage
Input:
R: Admin deletes unreferenced value; referenced values blocked; only Admins.
T: TC-001 delete succeeds; TC-002 referenced value errorOutput:
Coverage 67% — R-3 (Only Admins) has no test → MT-1 Non-admin DELETE returns 403 (P0, security)Frequently asked questions about AI Test Coverage Analyzer
How is the coverage percentage computed?
Full coverage counts 1, partial counts 0.5 and none counts 0; the sum is divided by the number of requirements.
Is my input stored?
No. Your text is sent to the Mutqan AI service and the structured result is returned to your browser. We do not store prompts or outputs — only anonymous usage counters used for daily limits.
How many generations can I run?
Anonymous visitors get a small daily allowance per network address; registered users get a higher daily quota. The remaining count is shown under every result.
Can I get the result in Arabic or Hindi?
Yes — choose the output language. Natural-language fields are written in that language while identifiers, HTTP methods, paths and other technical tokens stay in English.
Technical notes
Your input is sent to the Mutqan AI service over an encrypted connection; prompts and results are never stored — only anonymous usage counters used for rate limiting.
The AI must answer with strict JSON that is validated against a schema on the server before anything is rendered; malformed answers are retried once and then rejected with a clear message.