Recent years have experienced sustained focus in research on software defect prediction
that aims to predict the likelihood of software defects. Moreover, with the increased interest …

Software defect prediction aims to identify potentially defective software modules to better
allocate limited quality assurance resources. Practitioners often do this by utilizing …

DevOps has emerged as one of the most rapidly evolving software development paradigms.
With the growing concerns surrounding security in software systems, the DevSecOps …

Software defect prediction models are of great importance in software testing, however, they
also face the problem of model uninterpretability. Association rules have good accuracy and …

Software defect prediction is one of the most difficult tasks in the IT sector. Continuous
Integration and Continuous Delivery (CI/CD) software defect prediction is used in earlier …

Software defect prediction (SDP) method aims to identify potential bugs in programs or
defective modules in software projects. SDP method can greatly help developers allocate …

Software defect prediction technology can effectively improve software quality. Depending
on the code metrics, machine learning models are built to predict potential defects. Some …

Modern developers make new changes based on their understanding of the existing code
context and review these changes by analyzing the modified code and its context (ie …

Developers utilize issue tracking systems to track ideas, feedback, tasks, and bugs for
projects in the open‐source software ecosystem of GitHub. In this context, extensive bug …

Software defect prediction technology can effectively detect potential defects in the software
system. The most common method is to establish machine learning models based on …