The object of software defect prediction (SDP) is to identify defect-prone modules. This is
achieved through constructing prediction models using datasets obtained by mining …

Fault Prediction procedures are meant to help focus on software testing and troubleshooting;
they can caution developers on programming segments that appear to be defective. Here, a …

Abstract Software Fault Prediction (SFP) research has made enormous endeavor to
accurately predict fault proneness of software modules, thus maximize precious software test …

Software defect prediction strives to improve software quality and testing efficiency by
constructing predictive classification models from code attributes to enable a timely …

The software industry's growth and increasing complexity have made software maintenance
more challenging, with Software Defects (SD) being a significant contributor to quality …

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 …

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 …

Machine learning is an effective method for software defect prediction. The performance of
learning models can be affected by irrelative and redundant features. Feature selection …

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 …