The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …

By creating an effective prediction model, SDP helps to find the possible problems in recent
components of software earlier. The model's effectiveness was harmed by characteristics …

Software development and the maintenance life cycle are lengthy processes. However, the
possibility of having defects in the software can be high. Software reliability and performance …

In the arena of software engineering, software defects prediction is one of the most attractive
research topics. Here the main task is to predict if there is any bug in the software or not. For …

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 …

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 …

Despite the fact that a number of approaches have been proposed for effective and accurate
prediction of software defects, yet most of these have not found widespread applicability. Our …

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 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 …

Defect severity assessment is the most crucial step in large industries and organizations
where the complexity of the software is increasing at an exponential rate. Assigning the …