ISCAS OpenIR  > 基础软件与系统重点实验室
a hierarchical mixture model for software reliability prediction
Li Shaoming; Yin Qian; Guo Ping; Lyu Michael R.
2007
Conference NameInternational Conference on Intelligent Computing
Pages1120-1130
Conference DateAUG 23-26,
Conference PlaceHefei, PEOPLES R CHINA
Publish Place360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA
PublisherAPPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
DepartmentBeijing Normal Univ, Dept Comp Sci, Beijing 100875, Peoples R China. Chinese Acad Sci, Inst Software, Lab Comp Sci, Beijing 100080, Peoples R China. Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China.
English AbstractIt is important to develop general prediction models in current software reliability research. In this paper, we propose a hierarchical mixture of software reliability models (HMSRM) for software reliability prediction. This is an application
KeywordSoftware Reliability Model Hme Em Algorithm Prediction
SponsorshipInst Intelligent Machines, Univ Sci & Technol, IEEE Computat Intelligence Soc, IEEE Hong Kong Computat Intelligence Chapter
WOS IDWOS:000245762700032
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10848
Collection基础软件与系统重点实验室
Recommended Citation
GB/T 7714
Li Shaoming,Yin Qian,Guo Ping,et al. a hierarchical mixture model for software reliability prediction[C]. 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA:APPLIED MATHEMATICS AND COMPUTATION,2007:1120-1130.
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