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 …

Background: Modern Code Review (MCR) is a lightweight alternative to traditional code
inspections. While secondary studies on MCR exist, it is ua nknown whether the research …

Code review is an essential activity for ensuring the quality and maintainability of software
projects. However, it is a time-consuming and often error-prone task that can significantly …

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 …

Code review is an essential part to software development lifecycle since it aims at
guaranteeing the quality of codes. Modern code review activities necessitate developers …

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 …

In this work we systematically review the recent advancements in software engineering with
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

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 …

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 …