Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …

Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

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 …

Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

In order to improve the effect of software defect prediction, many algorithms including feature
selection, have been proposed. Based on Wrapper and Filter hybrid framework, a feature …

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 …

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 …

Recently, early prediction of software defects using the machine learning techniques has
attracted more attention of researchers due to its importance in producing a successful …

Fault Prediction procedures are meant to help focus on software testing and troubleshooting;
they can caution developers on programming segments that appear to be defective. Here, a …

The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …