test-reporting-analytics

Essential Metrics

| Category | Metric | Target |

|----------|--------|--------|

| Execution | Pass Rate | >98% |

| Execution | Flaky Test % | <2% |

| Execution | Suite Duration | <10 min |

| Coverage | Line Coverage | >80% |

| Coverage | Branch Coverage | >70% |

| Quality | Escaped Defects | <5/release |

| Quality | MTTR | <4 hours |

| Efficiency | Automation Rate | >90% |

Trend Indicators

| Symbol | Meaning | Action |

|--------|---------|--------|

| ⬆️ | Improving | Continue current approach |

| ⬇️ | Declining | Investigate root cause |

| ➡️ | Stable | Maintain or improve |

| ⚠️ | Threshold breach | Immediate attention |

---

Real-Time Dashboard

```

Live quality status for CI/CD

• Build status (green/red)
• Test results (pass/fail counts)
• Coverage delta
• Flaky test alerts

```

Sprint Summary

```markdown

Metrics

| Metric | Value | Trend |

|--------|-------|-------|

| Tests Added | +47 | ⬆️ |

| Coverage | 82.3% | ⬆️ +2.1% |

| Bugs Found | 12 | ➡️ |

| Escaped | 0 | ✅ |

Highlights

• ✅ Zero escaped defects
• ⚠️ E2E suite now 45min (target: 30min)

Actions

1. Optimize slow E2E tests
2. Add coverage for payment module

```

Executive Report

```markdown

Executive Summary

✅ Production uptime: 99.97% (target: 99.95%)

✅ Deploy frequency: 12x/day (up from 8x)

⚠️ Coverage: 82.3% (target: 85%)

Business Impact

• Automation saves 120 hrs/month
• Bug cost: $150/bug found vs $5,000 escaped
• Estimated annual savings: $450K

Recommendations

1. Invest in performance testing tooling
2. Hire senior QE for mobile coverage

```

---

```typescript

// Predict test failures

const prediction = await Task("Predict Failures", {

codeChanges: prDiff,

historicalData: last90Days,

model: 'gradient-boosting'

}, "qe-quality-analyzer");

// Returns:

// {

// failureProbability: 0.73,

// likelyFailingTests: ['payment.test.ts'],

// suggestedAction: 'Review payment module carefully',

// confidence: 0.89

// }

// Trend analysis with anomaly detection

const trends = await Task("Analyze Trends", {

metrics: ['passRate', 'coverage', 'flakyRate'],

period: '30d',

detectAnomalies: true

}, "qe-quality-analyzer");

```

---

```typescript

// Generate comprehensive quality report

const report = await Task("Generate Quality Report", {

period: 'sprint',

audience: 'executive',

includeROI: true,

includeTrends: true

}, "qe-quality-analyzer");

// Real-time quality gate check

const gateResult = await Task("Quality Gate Check", {

metrics: currentMetrics,

thresholds: qualityPolicy,

environment: 'production'

}, "qe-quality-gate");

```

---

Memory Namespace

```

aqe/reporting/

├── dashboards/* - Dashboard configurations

├── reports/* - Generated reports

├── trends/* - Trend analysis data

└── predictions/* - Predictive model outputs

```

Fleet Coordination

```typescript

const reportingFleet = await FleetManager.coordinate({

strategy: 'quality-reporting',

agents: [

'qe-quality-analyzer', // Metrics aggregation

'qe-quality-gate', // Threshold validation

'qe-deployment-readiness' // Release readiness

],

topology: 'parallel'

});

```

---

• [quality-metrics](../quality-metrics/) - Metric definitions
• [shift-right-testing](../shift-right-testing/) - Production metrics
• [consultancy-practices](../consultancy-practices/) - Client reporting

---

Measure to improve. Report to communicate.

Good reports:

• Answer "so what?" (actionable insights)
• Show trends (not just snapshots)
• Match audience needs
• Automate where possible

Data without action is noise. Action without data is guessing.