ISCAS OpenIR  > 互联网软件技术实验室
reducing biases in individual software effort estimations: a combining approach
Li Qi; Wang Qing; Yang Ye; Li Mingshu
2008
Conference NameACM/IEEE International Sympsoium on Empirical Software Engineering and Measurement
SourceESEM08: Proceedings of the 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Pages223-232
Conference Date44113
Conference PlaceKaiserslautern, GERMANY
Publish Place1515 BROADWAY, NEW YORK, NY 10036-9998 USA
PublisherESEM08: PROCEEDINGS OF THE 2008 ACM-IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT
ISBN978-1-59593-971-5
DepartmentLi, Qi; Wang, Qing; Yang, Ye; Li, Mingshu Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China.
English AbstractSoftware effort estimation techniques abound, each with its own set of advantages and disadvantages, and no one proves to be the single best answer. Combining estimating is an appealing approach. Avoiding the difficult problem of choosing the
KeywordOlc Software Effort Estimation Combining
SponsorshipACM SIGSOFT, IEEE CS, Siemens AG, Robert Bosch GmbH
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10644
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
Li Qi,Wang Qing,Yang Ye,et al. reducing biases in individual software effort estimations: a combining approach[C]. 1515 BROADWAY, NEW YORK, NY 10036-9998 USA:ESEM08: PROCEEDINGS OF THE 2008 ACM-IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT,2008:223-232.
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