CONTEXT: Software metrics may be used in fault prediction models to improve software
quality by predicting fault location. OBJECTIVE: This paper aims to identify software metrics …

Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

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 …

Defect prediction models are a well-known technique for identifying defect-prone files or
packages such that practitioners can allocate their quality assurance efforts (eg, testing and …

Software code review, ie, the practice of having other team members critique changes to a
software system, is a well-established best practice in both open source and proprietary …

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 …

Unsupervised models do not require the defect data to build the prediction models and
hence incur a low building cost and gain a wide application range. Consequently, it would …

Defect prediction aims to automatically identify potential defective code with minimal human
intervention and has been widely studied in the literature. Just-in-Time (JIT) defect prediction …

Software code review, ie, the practice of having third-party team members critique changes
to a software system, is a well-established best practice in both open source and proprietary …

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 …