Software defects remain a critical challenge in the software development lifecycle, impacting
product quality, cost, and delivery time. Predicting and mitigating defects early in the …

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 …

Detecting defects in software at the bleeding edge of a software development life cycle is
vital. Identifying defects before the deployment of software aids in delivering high-quality …

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 a crucial and helpful method for upgrading software
reliability and quality. It enables more effective project management by predicting potential …

Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

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

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 …

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 …

An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …