A Comparison Framework of Classification Models for Software Defect Prediction

A software defect is an error, failure, or fault in a software [1], that produces an incorrect or unexpected result, or causes it to behave in unintended ways. It is a deficiency in a software product that causes it to perform unexpectedly [2]. Software defects or software faults are expensive in quality and cost. Moreover, the cost of capturing and correcting defects is one of the most expensive software development activities [3]. Recent studies show that the probability of detection through defect prediction models may be higher than the probability of detection through software reviews [4]. The accurate prediction of defect‐prone software modules can certainly assist testing effort, reduce costs and improve the quality of software [5].