Code review is effective, but human-intensive (eg, developers need to manually modify
source code until it is approved). Recently, prior work proposed a Neural Machine …

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 …

Story point estimation is a task to estimate the overall effort required to fully implement a
product backlog item. Various estimation approaches (eg, Planning Poker, Analogy, and …

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 …

Recently, automated vulnerability repair approaches have been widely adopted to combat
increasing software security issues. In particular, transformer-based encoder-decoder …

Early identification of security issues in software development is vital to minimize their
unanticipated impacts. Code review is a widely used manual analysis method that aims to …

In recent years, large pre-trained Language Models of Code (CodeLMs) have shown
promising results on various software engineering tasks. One such task is automatic code …

Code review is a software quality assurance practice, yet remains time-consuming (eg, due
to slow feedback from reviewers). Recent Neural Machine Translation (NMT)-based code …

Increasing code velocity is a common goal for a variety of software projects. The efficiency of
the code review process significantly impacts how fast the code gets merged into the final …

Review comments are one of the main building blocks of modern code reviews. Manually
writing code review comments could be time-consuming and technically challenging …