Software defect prediction based on supervised learning plays a crucial role in guiding
software testing for resource allocation. In particular, it is worth noticing that using …

Software defect prediction technology is used to assist software practitioners in effectively
allocating test resources and identifying hidden defects in a timely manner. However, the …

To ensure the rational allocation of software testing resources and reduce costs, software
defect prediction has drawn notable attention to many “white-box” and “black-box” …

This paper focuses on the problem of defect prediction, a problem of major importance
during software maintenance and evolution. It is essential for software developers to identify …

Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …

Software defect prediction is aimed to find potential defects based on historical data and
software features. Software features can reflect the characteristics of software modules …

Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

Two important problems which can affect the performance of classification models are high-
dimensionality (an overabundance of independent features in the dataset) and imbalanced …

Software defect prediction (SDP) is a promising solution to save time and cost in the
software testing phase for improving software quality. Numerous machine learning …