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test-reporting-analytics

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.

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Repository
proffesor-for-testing/agentic-qe
Letzte Quellaktivität
27. September 2026 um 15:26
Erkannte Sprache von SKILL.md
Englisch
Sterne
505
Forks
100

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
test-reporting-analytics
description
Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.
category
analytics
priority
high
tokenEstimate
850
agents
["qe-quality-analyzer","qe-quality-gate","qe-deployment-readiness"]
implementation_status
optimized
optimization_version
1
last_optimized
2025-12-03T00:00:00.000Z
dependencies
[]
quick_reference_card
true
tags
["reporting","analytics","dashboards","metrics","trends","predictive"]
trust_tier
3
validation
{"schema_path":"schemas/output.json","validator_path":"scripts/validate-config.json","eval_path":"evals/test-reporting-analytics.yaml"}
# Test Reporting & Analytics <default_to_action> When building test reports: 1. DEFINE audience (dev team vs executives) 2. CHOOSE key metrics (max 5-7) 3. SHOW trends (not just snapshots) 4. HIGHLIGHT actions (what to do about it) 5. AUTOMATE generation **Dashboard Quick Setup:** ``` +------------------+------------------+------------------+ | Tests Passed | Code Coverage | Flaky Tests | | 1,247/1,250 ✅ | 82.3% ⬆️ +2.1% | 1.2% ⬇️ -0.3% | +------------------+------------------+------------------+ | Critical Bugs | Deploy Freq | MTTR | | 0 open ✅ | 12x/day ⬆️ | 2.3h ⬇️ | +------------------+------------------+------------------+ ``` **Key Metrics by Audience:** - **Dev Team**: Pass rate, flaky %, execution time, coverage gaps - **QE Team**: Defect detection rate, test velocity, automation ROI - **Leadership**: Escaped defects, deployment frequency, quality cost </default_to_action> ## Quick Reference Card ### 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 | --- ## Report Types ### 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 ## Sprint 47 Quality Summary ### 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 ## Monthly Quality Report - Oct 2025 ### 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 ``` --- ## Predictive Analytics ```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"); ``` --- ## Agent Integration ```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"); ``` --- ## Agent Coordination Hints ### 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' }); ``` --- ## Related Skills - [quality-metrics](../quality-metrics/) - Metric definitions - [shift-right-testing](../shift-right-testing/) - Production metrics - [consultancy-practices](../consultancy-practices/) - Client reporting --- ## Remember **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.**
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