Software stands out as one of the most rapidly evolving technologies in the present era,
characterized by its swift expansion in both scale and complexity, which leads to challenges …

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 …

Context Despite recent attention given to Software Defect Prediction (SDP), the lack of any
systematic effort to assess existing empirical evidence on the application of Deep Learning …

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 …

In recent years, defect prediction, one of the major software engineering problems, has been
in the focus of researchers since it has a pivotal role in estimating software errors and faulty …

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 …

At the latest, a lot of studies have been conducted to forecast software flaws and determine if
modules are defective or not, in order to build high-quality software at a low cost before …

Defects are frequent in software systems, and they can cause a lot of issues for users.
Despite the fact that many studies have been conducted on employing software product …

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 is the process of identifying defective files and modules that need
rigorous testing. In the literature, several secondary studies including systematic reviews …