Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating testing resources, or making coverage decisions.
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Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating testing resources, or making coverage decisions.
aqe/risk-based/
├── risk-scores/* - Current risk assessments
├── historical-bugs/* - Bug patterns by area
├── production-data/* - Incident data for risk
└── coverage-map/* - Test depth by risk level
# Risk-based test selection in pipeline-name:RiskAnalysisrun:aqerisk-analyze--changes${{github.event.pull_request.files}}-name:RunCriticalTestsif:risk.critical>0run:npmruntest:critical-name:RunHighTestsif:risk.high>0run:npmruntest:high-name:SkipLowRiskif:risk.low_onlyrun:npmruntest:smoke
Risk = Probability × Impact. Test where bugs hurt most. Critical gets 60%, low gets 5%. Risk is dynamic - reassess with new info. Production incidents raise risk scores.
With Agents: Agents calculate risk using ML on historical data, select risk-appropriate tests, and adjust scores from production feedback. Use agents to maintain dynamic risk profiles at scale.