Defect prediction models help software quality assurance teams to allocate their limited
resources to the most defect-prone modules. Model validation techniques, such as-fold …

Existing work on software patches often use features specific to a single task. These works
often rely on manually identified features, and human effort is required to identify these …

Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …

Software quality assurance efforts often focus on identifying defective code. To find likely
defective code early, change-level defect prediction-aka. Just-In-Time (JIT) defect prediction …

Software defect prediction is one of the most active fields in software engineering. Recently,
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …

Many defect prediction techniques are proposed to improve software reliability. Change
classification predicts defects at the change level, where a change is the modifications to …

Change-level defect prediction [5], aka, Just-In-Time (JIT) defect prediction [1], is an
alternative to module-level defect prediction that offers several advantages. First, since code …

Throughout a software development life cycle, developers knowingly commit code that is
either incomplete, requires rework, produces errors, or is a temporary workaround. Such …

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 …

Defect prediction has been an active research area for over four decades. Despite
numerous studies on defect prediction, the potential value of defect prediction in practice …