Early detection of defective software components enables verification experts give much
time and allocate scare resources to the problem areas of the system under development …

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 defect prediction (SDP) is critical in guaranteeing software cost reduction and
quality improvement while building a software system. Thus, software defect prediction in the …

In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …

Empirical studies on software defect prediction models have come up with various
predictors. In this study we examined variable regularized factors in conjunction with Logistic …

Abstract Software Defect Prediction (SDP) is an advanced technological method of
predicting software defects in the software development life cycle. Various research works …

Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …

Context Software defect prediction means finding defect-prone modules before the testing
process which will reduce testing cost and time. Machine learning methods can provide …

Production of high-quality software at lower cost has always been the main concern of
developers. However, due to exponential increases in size and complexity, the development …

Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …