Use Case Code Quality ML - GuitarAlchemist/ix GitHub Wiki

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Use Case: Code Quality ML

ML-powered code analysis: ix-code metrics → Random Forest classification → time series trend tracking.

Pipelines

1. Extract Metrics

ix-code analyzes source files for cyclomatic/cognitive complexity, Halstead metrics, SLOC, maintainability index. Produces 20-feature Array1<f64> vectors.

2. Classify "Needs Refactoring"

Random Forest trained on labeled (acceptable/refactor) code samples. Cross-validate with StratifiedKFold, evaluate with ConfusionMatrix + ROC/AUC.

3. Track Maintainability Trends

Weekly maintainability index tracked with rolling_mean and ewma. Alert when rolling average drops below threshold (60).

4. Predict Technical Debt

lag_features_with_stats → LinearRegression with temporal_split. Forecast future maintainability from recent trends.

Algorithms Used

Algorithm ix Crate Role
Code Analysis ix-code Extract complexity metrics
Random Forest ix-ensemble Refactoring classifier
Cross-validation ix-supervised Model evaluation
Confusion Matrix + AUC ix-supervised Quality metrics
Rolling Mean / EWMA ix-signal Trend monitoring
Lag Features ix-signal Time series → supervised
Linear Regression ix-supervised Debt prediction

Related

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