risk-based-testing

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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Repository: proffesor-for-testing/sentinel-api-testing
Last source activity: December 8, 2025 at 14:35
Detected SKILL.md language: English
Stars: 44
Forks: 12

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name	risk-based-testing
description	Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating testing resources, or making coverage decisions.
category	testing-methodologies
priority	high
tokenEstimate	1000
agents	["qe-regression-risk-analyzer","qe-test-generator","qe-production-intelligence","qe-quality-gate"]
implementation_status	optimized
optimization_version	1
last_optimized	2025-12-02T00:00:00.000Z
dependencies	[]
quick_reference_card	true
tags	["risk","prioritization","test-planning","coverage","impact-analysis"]

Risk-Based Testing

<default_to_action> When planning tests or allocating testing resources:

IDENTIFY risks: What can go wrong? What's the impact? What's the likelihood?
CALCULATE risk: Risk = Probability × Impact (use 1-5 scale for each)
PRIORITIZE: Critical (20+) → High (12-19) → Medium (6-11) → Low (1-5)
ALLOCATE effort: 60% critical, 25% high, 10% medium, 5% low
REASSESS continuously: New info, changes, production incidents

Quick Risk Assessment:

Probability factors: Complexity, change frequency, developer experience, technical debt
Impact factors: User count, revenue, safety, reputation, regulatory
Dynamic adjustment: Production bugs increase risk; stable code decreases

Critical Success Factors:

Test where bugs hurt most, not everywhere equally
Risk is dynamic - reassess with new information
Production data informs risk (shift-right feeds shift-left) </default_to_action>

Quick Reference Card

When to Use

Planning sprint/release test strategy
Deciding what to automate first
Allocating limited testing time
Justifying test coverage decisions

Risk Calculation

Risk Score = Probability (1-5) × Impact (1-5)

Score	Priority	Effort	Action
20-25	Critical	60%	Comprehensive testing, multiple techniques
12-19	High	25%	Thorough testing, automation priority
6-11	Medium	10%	Standard testing, basic automation
1-5	Low	5%	Smoke test, exploratory only

Probability Factors

Factor	Low (1)	Medium (3)	High (5)
Complexity	Simple CRUD	Business logic	Algorithms, integrations
Change Rate	Stable 6+ months	Monthly changes	Weekly/daily changes
Developer Experience

Feature | Probability | Impact | Risk | Priority
--------|-------------|--------|------|----------
Checkout | 4 | 5 | 20 | Critical
User Auth | 3 | 5 | 15 | High
Admin Panel | 2 | 2 | 4 | Low
Search | 3 | 3 | 9 | Medium

await Task("Risk-Based Test Generation", {
  critical: {
    features: ['checkout', 'payment'],
    depth: 'comprehensive',
    techniques: ['unit', 'integration', 'e2e', 'performance', 'security']
  },
  high: {
    features: ['auth', 'user-profile'],
    depth: 'thorough',
    techniques: ['unit', 'integration', 'e2e']
  },
  medium: {
    features: ['search', 'notifications'],
    depth: 'standard',
    techniques: ['unit', 'integration']
  },
  low: {
    features: ['admin-panel', 'settings'],
    depth: 'smoke',
    techniques: ['smoke-tests']
  }
}, "qe-test-generator");

// Production incident increases risk
await Task("Update Risk Score", {
  feature: 'search',
  event: 'production-incident',
  previousRisk: 9,
  newProbability: 5,  // Increased due to incident
  newRisk: 15         // Now HIGH priority
}, "qe-regression-risk-analyzer");

// Agent predicts risk using historical data
const riskAnalysis = await Task("ML Risk Analysis", {
  codeChanges: changedFiles,
  historicalBugs: bugDatabase,
  prediction: {
    model: 'gradient-boosting',
    factors: ['complexity', 'change-frequency', 'author-experience', 'file-age']
  }
}, "qe-regression-risk-analyzer");

// Output: 95% accuracy risk prediction per file

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

const riskFleet = await FleetManager.coordinate({
  strategy: 'risk-based-testing',
  agents: [
    'qe-regression-risk-analyzer',  // Risk scoring
    'qe-test-generator',            // Risk-appropriate tests
    'qe-production-intelligence',   // Production feedback
    'qe-quality-gate'               // Risk-based gates
  ],
  topology: 'sequential'
});

# Risk-based test selection in pipeline
- name: Risk Analysis
  run: aqe risk-analyze --changes ${{ github.event.pull_request.files }}

- name: Run Critical Tests
  if: risk.critical > 0
  run: npm run test:critical

- name: Run High Tests
  if: risk.high > 0
  run: npm run test:high

- name: Skip Low Risk
  if: risk.low_only
  run: npm run test:smoke