Several techniques have been proposed to accurately predict software defects. These
techniques generally exploit characteristics of the code artefacts (eg, size, complexity, etc.) …

Software and systems traceability is widely accepted as an essential element for supporting
many software development tasks. Today's version control systems provide inbuilt features …

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 …

Refactoring is the process of changing the internal structure of software to improve its quality
without modifying its external behavior. Empirical studies have repeatedly shown that …

Abstract Support Vector Machine (SVM) has been widely used to build software defect
prediction models. Prior studies compared the accuracy of SVM to other machine learning …

Researchers proposed a wide range of approaches to build effective bug prediction models
that take into account multiple aspects of the software development process. Such models …

Software defect prediction has been regarded as one of the crucial tasks to improve software
quality by effectively allocating valuable resources to fault-prone modules. It is necessary to …

Vulnerability prediction models (VPM) are believed to hold promise for providing software
engineers guidance on where to prioritize precious verification resources to search for …

Software defect prediction can help to allocate testing resources efficiently through ranking
software modules according to their defects. Existing software defect prediction models that …

Code smells are symptoms of poor design and implementation choices. Previous studies
empirically assessed the impact of smells on code quality and clearly indicate their negative …