risk-based-testing

基于风险的测试

<default_to_action> 规划测试或分配测试资源时：

1. 识别各组件的风险（概率和影响均采用 1-5 分制）
2. 确定优先级：严重（20+）→ 高（12-19）→ 中（6-11）→ 低（1-5）
3. 分配工作量：严重 60%，高 25%，中 10%，低 5%
4. 持续重新评估：生产事故会提高风险；稳定的代码会降低风险 </default_to_action>

快速参考卡

适用场景

• 规划迭代／发布测试策略
• 决定优先自动化哪些内容
• 分配有限的测试时间
• 说明测试覆盖率决策的理由

按风险分值分配工作量

分值	优先级	工作量	操作
20-25	严重	60%	全面测试，采用多种技术
12-19	高	25%	彻底测试，优先自动化
6-11	中	10%	标准测试，基础自动化
1-5	低	5%	冒烟测试，仅进行探索性测试

---

根据风险确定测试深度

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");

步骤 3：动态重新评估

// 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");

---

ML 增强型风险分析

// 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

---

Agent 协作提示

记忆命名空间

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

集群协作

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'
});

---

与 CI/CD 集成

# 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

---

相关技能

• agentic-quality-engineering - 风险感知型 Agent
• context-driven-testing - 上下文会影响风险
• regression-testing - 基于风险选择回归测试
• shift-right-testing - 生产环境信息可用于评估风险

---

请记住

使用 Agent： Agent 会利用历史数据通过 ML 计算风险，选择适合风险等级的测试，并根据生产环境反馈调整分值。借助 Agent 大规模维护动态风险档案。