The Internet based cyber-physical world has profoundly changed the information
environment for the development of artificial intelligence (AI), bringing a new wave of AI …

The automation of code review has been tackled by several researchers with the goal of
reducing its cost. The adoption of deep learning in software engineering pushed the …

Code review is a practice widely adopted in open source and industrial projects. Given the
non-negligible cost of such a process, researchers started investigating the possibility of …

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 …

Software code review, ie, the practice of having other team members critique changes to a
software system, is a well-established best practice in both open source and proprietary …

In recent years, research in the domain of source code summarization has adopted data-
driven techniques pioneered in machine translation (MT). Automatic evaluation metrics such …

Context: The pull-based model, widely used in distributed software development, offers an
extremely low barrier to entry for potential contributors (anyone can submit of contributions to …

The automation of code review activities, a long-standing pursuit in software engineering,
has been primarily addressed by numerous domain-specific pre-trained models. Despite …

Contemporary code review is a widespread practice used by software engineers to maintain
high software quality and share project knowledge. However, conducting proper code …

Code review is an effective quality assurance practice, but can be labor-intensive since
developers have to manually review the code and provide written feedback. Recently, a …