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	Multi-extract and Multi-level Dataset of Mozilla Issue Tracking History
	Zhu, Jiaxin ; Zhou, Minghui ; Mei, Hong
	2016
英文摘要	Many studies analyze issue tracking repositories to understand and support software development. To facilitate the analyses, we share a Mozilla issue tracking dataset covering a 15-year history. The dataset includes three extracts and multiple levels for each extract. The three extracts were retrieved through two channels, a front-end (web user interface (UI)), and a back-end (official database dump) of Mozilla Bugzilla at three different times. The variations (dynamics) among extracts provide space for researchers to reproduce and validate their studies, while revealing potential opportunities for studies that otherwise could not be conducted. We provide different data levels for each extract ranging from raw data to standardized data as well as to the calculated data level for targeting specific research questions. Data retrieving and processing scripts related to each data level are offered too. By employing the multi-level structure, analysts can more efficiently start an inquiry from the standardized level and easily trace the data chain when necessary (e.g., to verify if a phenomenon reflected by the data is an actual event). We applied this dataset to several published studies and intend to expand the multi-level and multi-extract feature to other software engineering datasets.; National Basic Research Program of China [2015CB352203]; National Natural Science Foundation of China [61432001, 61421091]; EI; CPCI-S(ISTP); zhujiaxin@pku.edu.cn; zhmh@pku.edu.cn; meih@pku.edu.cn; 472-475
语种	英语
出处	13th International Conference on Mining Software Repositories (MSR)
DOI标识	10.1145/2901739.2903502
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436173]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhu, Jiaxin,Zhou, Minghui,Mei, Hong. Multi-extract and Multi-level Dataset of Mozilla Issue Tracking History. 2016-01-01.

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