Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

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 …

Modern software development frequently uses third-party packages, raising the concern of
supply chain security attacks. Many attackers target popular package managers, like npm …

Employing lightweight, tool-based code review of code changes (aka modern code review)
has become the norm for a wide variety of open-source and industrial systems. In this paper …

Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …

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 …

Software forges like GitHub host millions of repositories. Software engineering researchers
have been able to take advantage of such a large corpora of potential study subjects with …

Software defect prediction is one of the most active research areas in software engineering.
We can build a prediction model with defect data collected from a software project and …

What is the effect of programming languages on software quality? This question has been a
topic of much debate for a very long time. In this study, we gather a very large data set from …

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 …