Context: Over the last decade, Agile methods have changed the software development
process in an unparalleled way and with the increasing popularity of Big Data, optimizing …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

The rapid growth of applying Machine Learning (ML) in different domains, especially in
safety-critical areas, increases the need for reliable ML components, ie, a software …

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

Abstract Modern Code Review (MCR) is being adopted in both open-source and proprietary
projects as a common practice. MCR is a widely acknowledged quality assurance practice …

Late delivery of software projects and cost overruns have been common problems in the
software industry for decades. Both problems are manifestations of deficiencies in effort …

Context: The pull-based development model is widely used in open source projects, leading
to the emergence of trends in distributed software development. One aspect that has …

Code review is an effective quality assurance practice, yet can be time-consuming since
reviewers have to carefully review all new added lines in a patch. Our analysis shows that at …

For most Open Source Software (OSS) projects, issues and Pull-requests (PR) are the
primary means by which stakeholders of a project report and discuss software problems and …