Context: Machine learning is a valuable tool in software engineering allowing fair defect
prediction capabilities at a relatively small expense. However, although the practical usage …

Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …

Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …

Software analysis and prediction system development is the significant and much-needed
field of software testing in software engineering. The automatic software predictors analyze …

Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the 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 …

In the Software Engineering concept, the prediction of the software defects plays a vital role
in increasing the quality of the software systems, which is one of the most critical and …

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

As the software industry transitions to software-as-a-service (SAAS) model, there has been
tremendous competitive pressure on companies to improve software quality at a much faster …