Enhancing Software Defect Prediction under Class Imbalance: A Comparative Study of Resampling Techniques and Ensemble Learning Models
Software Defect Prediction (SDP) is important for making software more reliable and getting the most out of quality assurance efforts. However, in most practical defect sets there is a significant class imbalance, a few modules are defective, and many are not. This imbalance results in an imbalance of the learning and...