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 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 …

Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …

Change-level defect prediction [5], aka, Just-In-Time (JIT) defect prediction [1], is an
alternative to module-level defect prediction that offers several advantages. First, since 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 …

Code reviews are popular in both industrial and open source projects. The benefits of code
reviews are widely recognized and include better code quality and lower likelihood of …

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 …

Code review is one of the best practices as a powerful safeguard for software quality. In
practice, senior or highly skilled reviewers inspect source code and provide constructive …

Classifier specific (CS) and classifier agnostic (CA) feature importance methods are widely
used (often interchangeably) by prior studies to derive feature importance ranks from a …