Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …

Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

Unlike traditional defect prediction models that identify defect-prone modules, Just-In-Time
(JIT) defect prediction models identify defect-inducing changes. As such, JIT defect models …

During the last 10 years, hundreds of different defect prediction models have been
published. The performance of the classifiers used in these models is reported to be similar …

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 …

Researchers in software engineering have attempted to improve software development by
mining and analyzing software repositories. Since the majority of the software engineering …

Prior research suggests that predicting defect-inducing changes, ie, Just-In-Time (JIT) defect
prediction is a more practical alternative to traditional defect prediction techniques, providing …

Existing defect prediction models use product or process metrics and machine learning
methods to identify defect-prone source code entities. Different classifiers (eg, linear …

Software testing is a crucial activity during software development and fault prediction models
assist practitioners herein by providing an upfront identification of faulty software code by …