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 …

Distributed Software Development (DSD) has recently evolved, resulting in an increase in
the available literature. Organizations now have a tendency to make greater development …

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

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 …

Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …

Prediction of software defects works well within projects as long as there is a sufficient
amount of data available to train any models. However, this is rarely the case for new …

Security inspection and testing require experts in security who think like an attacker. Security
experts need to know code locations on which to focus their testing and inspection efforts …

Code flaws or vulnerabilities are prevalent in software systems and can potentially cause a
variety of problems including deadlock, hacking, information loss and system failure. A …

Ownership is a key aspect of large-scale software development. We examine the
relationship between different ownership measures and software failures in two large …

Background. Recent years have seen an increasing interest in cross-project defect
prediction (CPDP), which aims to apply defect prediction models built on source projects to a …