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Improving generality and accuracy of existing public development project selection methods: a study on GitHub ecosystem

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成果类型:
期刊论文
作者:
Cheng, Can;Li, Bing*;Li, Zengyang;Liang, Peng;Han, Xiaofeng;...
通讯作者:
Li, Bing;Liang, P
作者机构:
[Han, Xiaofeng; Zhang, Jiahua; Cheng, Can; Liang, Peng; Li, Bing; Li, B] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.
[Li, Zengyang] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
通讯机构:
[Liang, P ; Li, B] W
Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
Open source software project;GitHub;Public development project
期刊:
Automated Software Engineering
ISSN:
0928-8910
年:
2022
卷:
29
期:
1
页码:
1-43
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61832014, 62172311, 62032016]; Natural Science Foundation of Hubei Province of ChinaNatural Science Foundation of Hubei Province [2021CFB577]
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
With available tools and datasets existing on GitHub ecosystem, researchers have the opportunities to study diverse software engineering problems on a large-scale dataset. However, there are many potential threats when researchers try to directly use large-scale datasets, and one important threat is that GitHub contains many private projects (e.g., homework) and non-development projects (e.g., blog). For researchers who want to study cooperative behavior of developers or development process of projects, their research samples should not contain...

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