Presentation 2003/9/12
Generalized-Gamma Software Reliability Model
Hiroyuki OKAMURA, Mitsuaki ANDO, Tadashi DOHI,
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Abstract(in English) In this paper, we consider a generalized software reliability model based on the non-homogeneous Poisson process (NHPP) under the assumption that the software fault detection time obeys a generalized-gamma distribution. The proposed model is regarded as a comprehensive model for several existing NHPP models, and is consistent to the probabilistic debugging theory based on the general order statistics concept. Further, we develop an efficient statistical estimation method for the model parameters based on the EM (Expectation-Maximization) algorithm and a heuristic approach.
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Keyword(in English) software reliablity model / NHPP / generalized-gamma distribution / EM algorithm / fault data analysis
Paper # SS2003-12
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Conference Date 2003/9/12(1days)
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Registration To Software Science (SS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Generalized-Gamma Software Reliability Model
Sub Title (in English)
Keyword(1) software reliablity model
Keyword(2) NHPP
Keyword(3) generalized-gamma distribution
Keyword(4) EM algorithm
Keyword(5) fault data analysis
1st Author's Name Hiroyuki OKAMURA
1st Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University()
2nd Author's Name Mitsuaki ANDO
2nd Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University
3rd Author's Name Tadashi DOHI
3rd Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University
Date 2003/9/12
Paper # SS2003-12
Volume (vol) vol.103
Number (no) 318
Page pp.pp.-
#Pages 6
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