Mining authorship characteristics in bug repositories

Mining authorship characteristics in bug repositories
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挖掘错误存储库中的作者特征

DOI:
10.1007/s11432-014-0372-y
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发表时间:
2016-11
期刊:
Science China Information Sciences
影响因子:
--
通讯作者:
Zhilei Ren
Zhilei Ren
中科院分区:
其他
文献类型:
--
作者:
He Jiang;Jingxuan Zhang;Hongjing Ma;Najam Nazar;Zhilei Ren

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错误报告被广泛用于促进软件维护中的软件任务。由于错误报告是由人贡献的,因此贡献者的作者特征可能会严重影响解决软件任务的绩效。底盘不好
Bug reports are widely employed to facilitate software tasks in software maintenance. Since bug reports are contributed by people, the authorship characteristics of contributors may heavily impact the perfor-mance of resolving software tasks. Poorly written bug reports may delay developers when fixing bugs. However, no in-depth investigation has been conducted over the authorship characteristics. In this study, we first leverage byte-level N-grams to model the authorship characteristics and employ Normalized Simplified Profile Intersection (NSPI) to identify the similarity of the authorship characteristics. Then, we investigate a series of properties related to contributors’ authorship characteristics, including the evolvement over time and the variation among distinct products in open source projects. Moreover, we show how to leverage the authorship characteristics to facilitate a well-known task in software maintenance, namely Bug Report Summarization (BRS). Experiments on open source projects validate that incorporating the authorship characteristics can effectively improve a state-of-the-art method in BRS. Our findings suggest that contributors should retain stable authorship characteristics and the authorship characteristics can assist in resolving software tasks.
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