基于拉动的发展研究数据集

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2014-05-31 DOI:10.1145/2597073.2597122

Georgios Gousios, A. Zaidman

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引用次数: 64

摘要

Pull请求为分布式软件开发提供了一种新的协作方式。为了研究拉取请求分布式开发模型，我们构建了一个包含近900个项目和35万个拉取请求的数据集，其中包括Github上一些最大的拉取请求用户。在本文中，我们描述了项目选择是如何完成的，我们分析了选择的特征，并为R统计环境提供了一个机器学习工具集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A dataset for pull-based development research

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.

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来源期刊

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)

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