Large language models like BERT and GPT possess significant capabilities and potential
impacts across various applications. Software engineers often use these models for code …

Automatic programming has seen increasing popularity due to the emergence of tools like
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …

Modern code review is a process in which an incremental code contribution made by a code
author is reviewed by one or more peers before it is committed to the version control system …

Context: Static Application Security Testing Tools (SASTTs) identify software vulnerabilities
to support the security and reliability of software applications. Interestingly, several studies …

With the advent of large language models (LLMs) in the artificial intelligence (AI) area, the
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …

IT sustainability is becoming more and more important within the digitalization journey. It is
more than green coding or the usage of power‐efficient hardware–it needs a holistic …

Several techniques have been proposed to automate code review. Early support consisted
in recommending the most suited reviewer for a given change or in prioritizing the review …

GitHub Actions (GA) has become the de facto tool that developers use to automate software
workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts …

In code review, generating structured and relevant comments is crucial for identifying code
issues and facilitating accurate code changes that ensure an efficient code review process …

Over the past decade, modern code review (MCR) has been deemed as a crucial practice of
software quality assurance, which is applied to improve software quality and transfer …