Software defect prediction is an active research area. Researchers have proposed many
approaches to overcome the imbalanced defect problem and build highly effective machine …

Software defect prediction (SDP) is a valuable tool since it can help to software quality
assurance team through predicting defective code locations in the software testing phase for …

Imbalanced software fault datasets, having fewer faulty modules than the nonfaulty modules,
make accurate fault prediction difficult. It is challenging for software practitioners to handle …

Software defect prediction has been a concurrent topic in software quality-based research.
Predictive models that identify defect prone parts of Software can be evolved from defect …

Software defect prediction is a popular method for optimizing software testing and improving
software quality and reliability. However, software defect datasets usually have quality …

Software defect prediction (SDP) is essential to analyze and identify defects present in a
software model in early stages of software development. The identification of these defects …

Software defect prediction (SDP) is a convenient way to identify defects in the early phases
of the software development life cycle. This early warning system can help in the removal of …

Software defect prediction is important to identify defects in the early phases of software
development life cycle. This early identification and thereby removal of software defects is …

Software defect prediction (SDP) aims to build an effective prediction model for historical
defect data from software repositories by some specialized techniques or algorithms, and …

With the availability of high-speed Internet and the advent of Internet of Things devices,
modern software systems are growing in both size and complexity. Software defect …