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automatic mining of change set size information from repository for precise productivity estimation
Huang Hui; Yang Qiusong; Xiao Junchao; Zhai Jian
2011
Conference Name2011 International Conference on Software and Systems Process, ICSSP 2011, Co-located with ICSE 2011
SourceProceedings - International Conference on Software Engineering
Pages72-80
Conference Date21-May-20
Conference PlaceWaikiki, Honolulu, HI, United states
Indexed TypeEI
Publish PlaceUnited States
ISSN2705257
ISBN9781450307307
Department(1) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Graduate University, Chinese Academy of Sciences, Beijing 100049, China
English AbstractProductivity is a crucial concern for most software organizations. It can help project managers to make project plan, supervise project progress, and measure the project members' performance. Thus it has been widely measured and analyzed by both industry and researchers. But in the actual software project management, the project data filled by the developers may be incomplete and imprecise. Especially it is very hard for the developers to give the precise work product scale of each task. Therefore, the productivity calculated basing on those data is also imprecise. To solve the problem, this paper presents a method for precise productivity estimation. The method calculates work product scale of each task using change set size information by rebuilding relationships between the tasks and the SVN commits, and then calculates the productivity. And an experimental study has been done basing on Qone. Qone is an integrated system for project management developed by Institute of Software Chinese Academy of Sciences (ISCAS). It has been used in more than 200 software companies in China. © 2011 ACM.
KeywordProject Management Software Engineering
SponsorshipInternational Software Process Association (ISPA)
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14355
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
Huang Hui,Yang Qiusong,Xiao Junchao,et al. automatic mining of change set size information from repository for precise productivity estimation[C]. United States,2011:72-80.
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