There is a severe class imbalance problem in defect datasets, with nondefective data
dominating the distribution, making it easy to generate inaccurate software defect prediction …

Software fault prediction is the very important research topic for software quality assurance.
Data-driven approaches provide robust mechanisms to deal with software fault prediction …

Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …

The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …

Creating error-free software artifacts is essential to increase software quality and potential re-
usability. However, testing software artifacts to find defects and fix them is time-consuming …

To ensure software quality, software defect prediction plays a prominent role for the software
developers and practitioners. Software defect prediction can assist us with distinguishing …

Software systems are now ubiquitous and are used every day for automation purposes in
personal and enterprise applications; they are also essential to many safety-critical and …

Recently, early prediction of software defects using the machine learning techniques has
attracted more attention of researchers due to its importance in producing a successful …

Software defect prediction is an active research area in software engineering. Accurate
prediction of software defects assists software engineers in guiding software quality …

Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …