SEOct 5, 2017

Unusual Events in GitHub Repositories

arXiv:1710.01943v210 citations
Originality Synthesis-oriented
AI Analysis

This addresses the issue of information overload for developers in active software projects, though it is incremental as it builds on existing event analysis methods.

The study tackled the problem of developers being overwhelmed by project activity in large GitHub repositories by identifying unusual events, such as large code modifications and unusual reviewing activity, and found that 140 developers considered these events particularly useful based on 2,096 responses.

In large and active software projects, it becomes impractical for a developer to stay aware of all project activity. While it might not be necessary to know about each commit or issue, it is arguably important to know about the ones that are unusual. To investigate this hypothesis, we identified unusual events in 200 GitHub projects using a comprehensive list of ways in which an artifact can be unusual and asked 140 developers responsible for or affected by these events to comment on the usefulness of the corresponding information. Based on 2,096 answers, we identify the subset of unusual events that developers consider particularly useful, including large code modifications and unusual amounts of reviewing activity, along with qualitative evidence on the reasons behind these answers. Our findings provide a means for reducing the amount of information that developers need to parse in order to stay up to date with development activity in their projects.

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