-fects of process integration and automation. Software project ecosystems such as GitHub provide a new opportunity in this regard: one can readily find large numbers of projects in various stages of process integration and automation, and gather data on various influencing factors as well as produc

Given the increasing number of unsuccessful pull requests in GitHub projects, insights into the success and failure of these requests are essential for the developers. In this paper, we provide a comparative study between successful and un-successful pull requests made to 78 GitHub base projects

that are quite diverse. Team diversity, predominantly in of-fline groups, is known to correlate with team output, mostly with positive effects. How about in OSS? Using GITHUB, the largest publicly available collection of OSS projects, we studied how gender and tenure diversity relate to team productivity

diverse both socially and technically, we report the results of a user survey that tries to resolve how teamwork and individual attributes are perceived by developers collaborating on GITHUB, and how those perceptions influence their work. Our findings can be used as complementary data to quantitative

created an entirely new, higher level of organization. GitHub supports numerous teams; they share a common technical platform (for work activities) and a common social platform (via following, commenting, etc). We explore the GitHub evidence for socialization as a precursor to joining a project, and how

Decentralized Version Control Systems (dvcs) enable teams to structure their development independently, allowing par-allel work. Online hosting services for dvcs have become a viable option for teams to structure their workflow around, and GitHub is currently the most widely used such service

a lightweight mech-anism for committing, reviewing and managing code changes. These features impact how GitHub is used and the benefits it provides to teams ’ development and collaboration. While most of the evidence we have is from GitHub’s use in open source software (OSS) projects, GitHub is also

on a quantitative study that tries to resolve which factors affect pull request evaluation latency in GitHub. Using regression modeling on data extracted from a sample of GitHub projects using the Travis-CI continuous integration service, we find that latency is a complex issue, requiring many

, we propose a new method, known as reference coupling, for detecting technical dependencies between projects. The method establishes dependencies through user-specified cross-references between projects. We use our method to identify ecosystems in GitHub-hosted projects, and we identify several

of GitHub’s main features and how their activity is tracked on GitHub and related datasets to point out misalignment between the real and mined data. Our results indicate that while GitHub is a rich source of data on software development, mining GitHub for research purposes should take various potential