A Dataset for Pull-based Development Research
Title | A Dataset for Pull-based Development Research |
Publication Type | Conference Paper |
Year of Publication | 2014 |
Authors | Gousios, G, Zaidman, A |
Secondary Title | Proceedings of the 11th Working Conference on Mining Software Repositories |
Pagination | 368–371 |
Publisher | ACM |
Place Published | New York, NY, USA |
ISBN Number | 978-1-4503-2863-0 |
Keywords | Distributed software development, Empirical software engineering, msr data showcase, pull request, pull-based development |
Abstract | Pull requests form a new method for collaborating in distributed software development. To study the pull request distributed development model, we constructed a dataset of almost 900 projects and 350,000 pull requests, including some of the largest users of pull requests on Github. In this paper, we describe how the project selection was done, we analyze the selected features and present a machine learning tool set for the R statistics environment. |
URL | http://doi.acm.org/10.1145/2597073.2597122 |
DOI | 10.1145/2597073.2597122 |
Full Text |
Attachment | Size |
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pullreqs-dataset.pdf | 616.89 KB |
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