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Test Trend Analysis

TrendGate's test trend analysis helps you understand how your software quality evolves over time, identify patterns, and make data-driven decisions.

📈 Trend Visualization​

Time-Series Charts​

View quality metrics over customizable time periods:

  • Daily View: Spot immediate changes
  • Weekly View: Understand sprint patterns
  • Monthly View: Track long-term progress
  • Custom Range: Analyze specific periods

Key Metrics Tracked​

trend_metrics:
  - test_pass_rate
  - code_coverage
  - test_execution_time
  - flaky_test_count
  - new_test_additions
  - test_deletions

🔍 Pattern Recognition​

Automated Insights​

TrendGate automatically identifies:

  1. Regression Patterns

    • Sudden quality drops
    • Gradual degradation
    • Cyclical failures

  2. Improvement Trends

    • Consistent quality gains
    • Coverage increases
    • Performance improvements

  3. Anomalies

    • Unusual spikes or drops
    • Statistical outliers
    • Unexpected patterns

📊 Comparative Analysis​

Branch Comparisons​

// Compare feature branch against main
const comparison = await trendgate.compareBranches({
  source: 'feature/new-payment',
  target: 'main',
  period: '7d'
});

Release Comparisons​

Track quality between releases:

  • v1.0 vs v2.0 metrics
  • Feature impact analysis
  • Regression identification

🎯 Predictive Analytics​

Trend Forecasting​

Based on historical data, TrendGate predicts:

  • Future quality scores
  • Risk of regression
  • Time to quality goals

Alert Thresholds​

predictive_alerts:
  quality_decline:
    prediction_window: 7d
    confidence_threshold: 0.8
    alert_if_below: 90

💡 Actionable Insights​

Recommendation Engine​

TrendGate provides specific recommendations:

  • "Coverage dropping in payment module - add tests"
  • "Flaky tests increasing - schedule cleanup sprint"
  • "Performance degrading - review recent changes"

Root Cause Analysis​

Correlate trends with:

  • Code changes
  • Team changes
  • External factors
  • Dependencies updates

🛠️ Custom Analytics​

Define Custom Metrics​

custom_trends:
  technical_debt_index:
    formula: "(code_smells + duplications) / total_lines"
    visualization: line_chart
    threshold_good: < 0.05
    threshold_warning: < 0.10

Export Capabilities​

  • CSV for spreadsheet analysis
  • JSON for custom processing
  • PDF reports for stakeholders
  • API access for automation

Start leveraging test trends to improve your software quality today!