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

Tales from the Trenches: Expectations and Challenges from Practice for Code Review in the
Generative AI Era Page 1 Article Type: Generative AI for Software Engineering (GAI for SE) …

Generative artificial intelligence (GenAI) technologies using LLMs (large language models),
such as ChatGPT and GitHub Copilot, with the ability to create code, have the potential to …

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 …

As our lives, our businesses, and indeed our world economy become increasingly reliant on
the secure operation of many interconnected software systems, the software engineering …

The success of a Pull Request (PR) depends on the responsiveness of the maintainers and
the contributor during the review process. Being aware of the expected waiting times can …

Software visualization approaches for code reviews are often implemented as standalone
applications, which use static code analysis. The goal is to visualize the structural changes …

Abstract Modern Code Review (MCR) is a practice software engineers adopt to improve
code quality. Despite its well-known benefits, it involves non-negligible effort, and this has …

Background Code review, the discussion around a code change among humans, forms a
communication network that enables its participants to exchange and spread information …

The task of automated code review has recently gained a lot of attention from the machine
learning community. However, current review comment evaluation metrics rely on …