Software defect prediction (SDP) can help testers decide allocation of resources rationally to
find defects effectively, so as to improve software quality. Naive Bayes (NB) is one of the …

Classification algorithms that help to predict software defects play a major role in the
software engineering process. This study investigated the application and performance of …

Context: Software defect prediction (SDP) models help in delivering a dependable and a
genuine product to the clients. However, the performance of these models is affected by the …

Software defect prediction has recently attracted attention of many software quality
researchers. One of the major areas in current project management software is to effectively …

Good quality software is a supporting factor that is important in any line of work in of society.
But the software component defective or damaged resulting in reduced performance of the …

In this digital world, using software has become an important part of daily life and business.
The software must be rigorously tested in order to avert a financial crisis. The defect-free …

Software defect prediction is a way to improve quality by finding and tracking defective
modules in the software which helps reduce costs during the software testing process. The …

Predicting the defect-proneness of a module can reduce the time, effort, manpower, and
consequently the cost to develop a software project. Since the causes of software defects …

Software defect prediction (SDP) plays a key role in the timely delivery of good quality
software product. In the early development phases, it predicts the error-prone modules …

Software defect prediction is an active research area in software engineering. Accurate
prediction of software defects assists software engineers in guiding software quality …