test-reporting-analytics

proffesor-for-testing

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について

このスキルは、予測分析と傾向分析を含む品質エンジニアリング指標のための高度なテストレポートと分析ダッシュボードを提供します。品質状況の伝達、傾向の追跡、ソフトウェア品質に関するデータ駆動型の意思決定を支援するように設計されています。開発者は、チームや経営陣向けに主要な指標と実践的な洞察を強調する自動化されたレポートやダッシュボードを構築する際に、これを活用すべきです。

クイックインストール

Claude Code

推奨

プラグインコマンド推奨

/plugin add https://github.com/proffesor-for-testing/agentic-qe

Git クローン代替

git clone https://github.com/proffesor-for-testing/agentic-qe.git ~/.claude/skills/test-reporting-analytics

このコマンドをClaude Codeにコピー＆ペーストしてスキルをインストールします

ドキュメント

Test Reporting & Analytics

<default_to_action> When building test reports:

DEFINE audience (dev team vs executives)
CHOOSE key metrics (max 5-7)
SHOW trends (not just snapshots)
HIGHLIGHT actions (what to do about it)
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

## 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

## 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

// 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

// 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

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 - Metric definitions
shift-right-testing - Production metrics
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.

GitHub リポジトリ

proffesor-for-testing/agentic-qe

パス: .claude/skills/test-reporting-analytics

agenticqeagenticsfoundationagentsquality-engineering