testing-patterns

name	testing-patterns
description	Pattern e metriche per testing, performance benchmarking, e quality analysis. Contiene framework, template e best practices comuni a tutti gli agenti testing.
user-invocable	false
disable-model-invocation	true

Testing Patterns & Metrics

Performance Metrics Targets

Web Vitals (Good/Needs Improvement/Poor)

Metric	Good	Needs Work	Poor
LCP	<2.5s	<4s	>4s
FID	<100ms	<300ms	>300ms
CLS	<0.1	<0.25	>0.25
FCP	<1.8s	<3s	>3s
TTI	<3.8s	<7.3s	>7.3s

Backend Performance

Metric	Target
API Response	<200ms (p95)
Database Query	<50ms (p95)
Background Jobs	<30s (p95)
Memory Usage	<512MB per instance
CPU Usage	<70% sustained

Mobile Performance

Metric	Target
App Startup	<3s cold start
Frame Rate	60fps for animations
Memory Usage	<100MB baseline
Battery Drain	<2% per hour active

Test Health

Metric	Green	Yellow	Red
Pass Rate	>95%	>90%	<90%
Flaky Rate	<1%	<5%	>5%
Coverage	>80%	>60%	<60%

Report Templates

Performance Benchmark

## Performance Benchmark: [App Name]
**Date**: [Date]
**Environment**: [Production/Staging]

### Executive Summary
- Current Performance: [Grade]
- Critical Issues: [Count]
- Potential Improvement: [X%]

### Key Metrics
| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| LCP | Xs | <2.5s | ❌/✅ |

### Top Bottlenecks
1. [Issue] - Impact: Xs - Fix: [Solution]

### Recommendations
#### Immediate (This Sprint)
1. [Specific fix with expected impact]

Quality Report

## Sprint Quality Report: [Sprint Name]
**Period**: [Start] - [End]
**Overall Health**: 🟢/🟡/🔴

### Executive Summary
- **Test Pass Rate**: X% (↑/↓ Y%)
- **Code Coverage**: X%
- **Defects Found**: X (Y critical)
- **Flaky Tests**: X

### Key Insights
1. [Finding with impact]

### Trends
| Metric | This Sprint | Last Sprint | Trend |
|--------|-------------|-------------|-------|
| Pass Rate | X% | Y% | ↑/↓ |

Flaky Test Report

## Flaky Test Analysis
**Period**: [Last X days]
**Total Flaky Tests**: X

### Top Flaky Tests
| Test | Failure Rate | Pattern | Priority |
|------|--------------|---------|----------|
| test_name | X% | Time/Order/Env | High |

### Root Cause Analysis
1. **Timing Issues** (X tests) - Fix: Add proper waits/mocks
2. **Test Isolation** (Y tests) - Fix: Clean state between tests

Quick Commands

# Performance test
curl -o /dev/null -s -w "Time: %{time_total}s\n" URL

# Memory snapshot
ps aux | grep node | awk '{print $6}'

# Bundle size
du -sh dist/*.js | sort -h

# Test pass rate
grep -E "passed|failed" test-results.log | awk '{count[$2]++} END {for (i in count) print i, count[i]}'

# Find slowest tests
grep "duration" test-results.json | sort -k2 -nr | head -20

Optimization Strategies

Quick Wins (Hours)

• Enable compression (gzip/brotli)
• Add database indexes
• Implement basic caching
• Optimize images
• Remove unused code
• Fix obvious N+1 queries

Medium Efforts (Days)

• Implement code splitting
• Add CDN for static assets
• Optimize database schema
• Implement lazy loading
• Add service workers

Major Improvements (Weeks)

• Rearchitect data flow
• Implement micro-frontends
• Add read replicas
• Migrate to faster tech
• Rewrite critical algorithms

Common Issues Checklist

Frontend

• Render-blocking resources
• Unoptimized images
• Excessive JavaScript
• Layout thrashing
• Memory leaks

Backend

• N+1 database queries
• Missing indexes
• Synchronous I/O
• Inefficient algorithms
• Connection pool exhaustion

Tests

• Flaky tests
• Slow tests
• Missing coverage
• Test isolation issues
• Environment dependencies

Tool Integration

Profiling Tools

Area	Tools
Frontend	Chrome DevTools, Lighthouse, WebPageTest
Backend	APM, query analyzers, profilers
Mobile	Xcode Instruments, Android Studio Profiler
Tests	Jest, Pytest, k6, JMeter

Monitoring

• Four Golden Signals: latency, traffic, errors, saturation
• Business metrics tracking
• User experience monitoring
• Cost tracking