An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework

Kamal Bashir, Tianrui Li, Chubato Wondaferaw Yohannese

Abstract: The object of software defect prediction (SDP) is to identify defect-prone modules. This is achieved through constructing prediction models using datasets obtained by mining software historical depositories. However, data mined from these depositories are often associated with high dimensionality, class imbalance, and mislabels which deteriorate classification...