A Dataset for Pull-based Development Research

Submitted by msquire on Fri, 2014-08-01 19:21

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
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