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Software Defect Prediction Using Ensemble Learning: An ANP Based Evaluation Method
2018
FUOYE Journal of Engineering and Technology
Software defect prediction (SDP) is the process of predicting defects in software modules, it identifies the modules that are defective and require extensive testing. Classification algorithms that help to predict software defects play a major role in software engineering process. Some studies have depicted that the use of ensembles is often more accurate than using single classifiers. However, variations exist from studies, which posited that the efficiency of learning algorithms might vary
doi:10.46792/fuoyejet.v3i2.200
fatcat:3b2eaocmkfa3nnuqkek7sxptce