Transformers have gained popularity in the software engineering (SE) literature. These deep
learning models are usually pre-trained through a self-supervised objective, meant to …

Deep learning (DL) techniques have been used to support several code-related tasks such
as code summarization and bug-fixing. In particular, pre-trained transformer models are on …

Abstract The concept of Self-Affirmed Refactoring (SAR) was introduced to explore how
developers document their refactoring activities in commit messages, ie, developers explicit …

Context: Analyzing software maintenance activities is very helpful in ensuring cost-effective
evolution and development activities. The categorization of commits into maintenance tasks …

Automated bug detection is essential for high-quality software development and has
attracted much attention over the years. Among the various bugs, previous studies show that …

Commit messages are the atomic level of software documentation. They provide a natural
language description of the code change and its purpose. Messages are critical for software …

Continuous Integration (CI) requires efficient regression testing to ensure software quality
without significantly delaying its CI builds. This warrants the need for techniques to reduce …

Commits represent an essential part of software development practices, serving as the
means for collaboration and management of software changes made to a software project's …

Understanding how developers refactor their code is critical to support the design
improvement process of software. This paper investigates to what extent code metrics are …

In large-scale software development environments, defect reports are maintained through
bug tracking systems (BTS) and analyzed by domain experts. Different users may create bug …