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qe-quality-metrics

Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.

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Imported from proffesor-for-testing/agentic-qe (.kiro/skills/qe-quality-metrics/SKILL.md). Install upstream with npx skills add proffesor-for-testing/agentic-qe --skill qe-quality-metrics. Copyright stays with the author.

Quality Metrics

<default_to_action> When measuring quality or building dashboards:

  1. MEASURE outcomes (bug escape rate, MTTD) not activities (test count)
  2. FOCUS on DORA metrics: Deployment frequency, Lead time, MTTD, MTTR, Change failure rate
  3. AVOID vanity metrics: 100% coverage means nothing if tests don't catch bugs
  4. SET thresholds that drive behavior (quality gates block bad code)
  5. TREND over time: Direction matters more than absolute numbers

Quick Metric Selection:

  • Speed: Deployment frequency, lead time for changes
  • Stability: Change failure rate, MTTR
  • Quality: Bug escape rate, defect density, test effectiveness
  • Process: Code review time, flaky test rate

Critical Success Factors:

  • Metrics without action are theater
  • What you measure is what you optimize
  • Trends matter more than snapshots </default_to_action>

Quick Reference Card

When to Use

  • Building quality dashboards
  • Defining quality gates
  • Evaluating testing effectiveness
  • Justifying quality investments

Meaningful vs Vanity Metrics

✅ Meaningful ❌ Vanity
Bug escape rate Test case count
MTTD (detection) Lines of test code
MTTR (recovery) Test executions
Change failure rate Coverage % (alone)
Lead time for changes Requirements traced

DORA Metrics

Metric Elite High Medium Low
Deploy Frequency On-demand Weekly Monthly Yearly
Lead Time < 1 hour < 1 week < 1 month > 6 months
Change Failure Rate < 5% < 15% < 30% > 45%
MTTR < 1 hour < 1 day < 1 week > 1 month

Quality Gate Thresholds

Metric Blocking Threshold Warning
Test pass rate 100% -
Critical coverage > 80% > 70%
Security critical 0 -
Performance p95 < 200ms < 500ms
Flaky tests < 2% < 5%

Core Metrics

Bug Escape Rate

Bug Escape Rate = (Production Bugs / Total Bugs Found) × 100

Target: < 10% (90% caught before production)

Test Effectiveness

Test Effectiveness = (Bugs Found by Tests / Total Bugs) × 100

Target: > 70%

Defect Density

Defect Density = Defects / KLOC

Good: < 1 defect per KLOC

Mean Time to Detect (MTTD)

MTTD = Time(Bug Reported) - Time(Bug Introduced)

Target: < 1 day for critical, < 1 week for others

Dashboard Design

// Agent generates quality dashboard
await Task("Generate Dashboard", {
  metrics: {
    delivery: ['deployment-frequency', 'lead-time', 'change-failure-rate'],
    quality: ['bug-escape-rate', 'test-effectiveness', 'defect-density'],
    stability: ['mttd', 'mttr', 'availability'],
    process: ['code-review-time', 'flaky-test-rate', 'coverage-trend']
  },
  visualization: 'grafana',
  alerts: {
    critical: { bug_escape_rate: '>20%', mttr: '>24h' },
    warning: { coverage: '<70%', flaky_rate: '>5%' }
  }
}, "qe-quality-analyzer");

Quality Gate Configuration

{
  "qualityGates": {
    "commit": {
      "coverage": { "min": 80, "blocking": true },
      "lint": { "errors": 0, "blocking": true }
    },
    "pr": {
      "tests": { "pass": "100%", "blocking": true },
      "security": { "critical": 0, "blocking": true },
      "coverage_delta": { "min": 0, "blocking": false }
    },
    "release": {
      "e2e": { "pass": "100%", "blocking": true },
      "performance_p95": { "max_ms": 200, "blocking": true },
      "bug_escape_rate": { "max": "10%", "blocking": false }
    }
  }
}

Agent-Assisted Metrics

// Calculate quality trends
await Task("Quality Trend Analysis", {
  timeframe: '90d',
  metrics: ['bug-escape-rate', 'mttd', 'test-effectiveness'],
  compare: 'previous-90d',
  predictNext: '30d'
}, "qe-quality-analyzer");

// Evaluate quality gate
await Task("Quality Gate Evaluation", {
  buildId: 'build-123',
  environment: 'staging',
  metrics: currentMetrics,
  policy: qualityPolicy
}, "qe-quality-gate");

Agent Coordination Hints

Memory Namespace

aqe/quality-metrics/
├── dashboards/*         - Dashboard configurations
├── trends/*             - Historical metric data
├── gates/*              - Gate evaluation results
└── alerts/*             - Triggered alerts

Fleet Coordination

const metricsFleet = await FleetManager.coordinate({
  strategy: 'quality-metrics',
  agents: [
    'qe-quality-analyzer',         // Trend analysis
    'qe-test-executor',            // Test metrics
    'qe-coverage-analyzer',        // Coverage data
    'qe-production-intelligence',  // Production metrics
    'qe-quality-gate'              // Gate decisions
  ],
  topology: 'mesh'
});

Common Traps

Trap Problem Solution
Coverage worship 100% coverage, bugs still escape Measure bug escape rate instead
Test count focus Many tests, slow feedback Measure execution time
Activity metrics Busy work, no outcomes Measure outcomes (MTTD, MTTR)
Point-in-time Snapshot without context Track trends over time

Related Skills


Remember

Measure outcomes, not activities. Bug escape rate > test count. MTTD/MTTR > coverage %. Trends > snapshots. Set gates that block bad code. What you measure is what you optimize.

With Agents: Agents track metrics automatically, analyze trends, trigger alerts, and make gate decisions. Use agents to maintain continuous quality visibility.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/proffesor-for-testing-agentic-qe-qe-quality-metrics/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

proffesor-for-testing-agentic-qe-qe-quality-metrics.ocm.jsonjson
{
  "ocm": "1",
  "id": "proffesor-for-testing-agentic-qe-qe-quality-metrics",
  "kind": "skill",
  "name": "qe-quality-metrics",
  "description": "Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.",
  "publisher": "proffesor-for-testing",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "metrics",
      "dora",
      "quality-gates",
      "dashboards",
      "kpis",
      "measurement",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/proffesor-for-testing/agentic-qe",
      "path": ".kiro/skills/qe-quality-metrics/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/proffesor-for-testing/agentic-qe/blob/HEAD/.kiro/skills/qe-quality-metrics/SKILL.md",
      "key": "proffesor-for-testing/agentic-qe/.kiro/skills/qe-quality-metrics/SKILL.md"
    }
  },
  "instructions": "# Quality Metrics\n\n<default_to_action>\nWhen measuring quality or building dashboards:\n1. MEASURE outcomes (bug escape rate, MTTD) not activities (test count)\n2. FOCUS on DORA metrics: Deployment frequency, Lead time, MTTD, MTTR, Change failure rate\n3. AVOID vanity metrics: 100% coverage means nothing if tests don't catch bugs\n4. SET thresholds that drive behavior (quality gates block bad code)\n5. TREND over time: Direction matters more than absolute numbers\n\n**Quick Metric Selection:**\n- Speed: Deployment frequency, lead time for changes\n- Stability: Change failure rate, MTTR\n- Quality: Bug es",
  "cost": {
    "context_tokens": 1466
  }
}

Fetch it by URL: GET /api/v1/registry/proffesor-for-testing-agentic-qe-qe-quality-metrics/manifest?version=1.0.0

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