Software defect prediction is crucial used for detecting possible defects in software before
they manifest. While machine learning models have become more prevalent in software …

Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

The use of machine learning concepts in the software engineering field is now ubiquitous to
predict software defects. Most of the Software Defect Prediction (SDP) datasets are highly …

The early prediction of defective modules in developing software can help the development
team to utilize the available resources efficiently to deliver high quality software product in …

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

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 …

In the modern world of software development, ensuring reliability and performance is of
paramount importance. However, despite the best efforts from the developers, software …

Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …