AI performance evaluation

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Record issue-level results and retain a traceable basis for metrics and the decision.

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Completed fictional example

Synthetic T-01 includes 12 documents and 40 reference issues: 10 critical and 30 major. The AI reports 38 findings: 32 correct and six false. Eight issues are missed, including two critical. Precision 84.2%; recall 80%; critical recall 80%. The rows below are illustrative extracts, not the entire 40-issue register.

Requirement / riskTest categoryReference resultAI resultSeverityOutcomeDeviationConclusion
REQ-01 / R-01Critical omissionProtocol must challenge specified alarm conditionNo candidate findingCriticalMissedDEV-01Expanded reliance unsupported
REQ-02 / R-02Unsupported statementNo approved source requires screenshot for every testClaims every test needs screenshotMajorFalseDEV-03Reject unsupported claim
REQ-01 / R-01Requirement mismatchAcceptance criterion differs from approved requirementIdentifies mismatch with correct sourceMajorCorrectNoneEvidence for this case only

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Requirement / riskTest categoryReference resultAI resultSeverityOutcomeDeviationConclusion
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