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 …

Context: Software defect prediction (SDP) is an important challenge in the field of software
engineering, hence much research work has been conducted, most notably through the use …

To facilitate software testing, and save testing costs, a wide range of machine learning
methods have been studied to predict defects in software modules. Unfortunately, the …

Software defect prediction aims to predict defect-prone code regions automatically before
defects are discovered. Accurate prediction helps software practitioners to prioritize their …

Software defect prediction (SDP) is an effective technique to lower software module testing
costs. However, the imbalanced distribution almost exists in all SDP datasets and restricts …

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 the technique used to predict the occurrences of defects
in the early stages of software development process. Early prediction of defects will reduce …

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