Predictive Analytics for Software Reliability: Integrating Software Metrics with Automated Model Search for Quality Assurance Optimization
Predicting software reliability is important but difficult: traditional statistical models and manually tuned ML approaches fail to express nonlinearities present in modern software and often demand extensive human domain knowledge. We evaluate an end-to-end automated hyperparameter search pipeline of RF, GB, and SVM c...