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 …

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 …

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 industry has stipulated the need for good quality software projects to be delivered
on time and within budget. Software defect prediction (SDP) has led to the application of …

Abstract Software Defect Prediction (SDP) has been a popular topic in both the Software
engineering (SE) and Machine Learning (ML) domain because of its significant contribution …

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 …

Anticipating software defects prior to the testing phase proves advantageous for efficient
resource allocation to develop the high-quality software, a necessity for any organization …

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 …

The most expressive attribute for defining successful software is its quality, which can only
be attained when the chances of a defect occurrence are doubtful. Software defect …