Software defect prediction (SDP) is used to perform the statistical analysis of historical defect
data to find out the distribution rule of historical defects, so as to effectively predictdefects in …

Software quality is an important parameter, and it plays a crucial role in software
development. One of the most important software quality attributes is fault proneness. It …

High dimensionality and class imbalance are latent data quality problems that have a
negative effect on the predictive capabilities of prediction models in software defect …

Software systems have grown significantly and in complexity. As a result of these qualities,
preventing software faults is extremely difficult. Software defect prediction (SDP) can assist …

In the Software development life cycle (SDLC) the prediction of software defects is one of the
crucial parts. Recent years have witnessed various studies for predicting software defects …

The process of accurately predicting software defects is highly crucial during the early period
of software development before testing activities begin. A variety of computational methods …

The performance of software defect prediction (SDP) models depend on the quality of
considered software features. Redundant features and irrelevant features may reduce the …

Predicting defect-prone software modules accurately and effectively is an important way to
control the quality of a software system during software development. Feature selection can …

With the increased growth of developed software in daily life, there is an urgent need to
predict software defects. The aim of this study is to compare the performance of three …