A Hybrid Feature Selection and Ensemble Learning Framework for Software Defect Prediction with Class Imbalance Handling
Software defect prediction (SDP) is essential for improving software quality since it finds error-prone modules early in the development lifecycle. Current methods produce inflated and erroneous performance metrics because of data leaks, inadequate class imbalance management, and reliance on antiquated classifiers. By...