Presentation 2012-06-15
On the Role of Equilibrium Distribution in Binomial Software Reliability Modeling
Xiao XIAO, Tadashi DOHI,
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Abstract(in English) The binomial software reliability model (SRM) is one of the most classical but plausible SRMs. It can describe many software fault-detection patterns in continuous time, by assuming different probability distributions as the underlying software fault-detection time distribution. One of the most typical software fault-detection patterns is exponential-type detection pattern, which can be well modeled by the equilibrium distribution. The superiority of equilibrium distribution in NHPP-based SRM has been verified in our previous work. In this paper, we incorporate equilibrium distributions to represent the underlying software fault-detection time in the binomial SRMs. We study the effectiveness of equilibrium distributions in software reliability modeling through goodness-of-fit test and prediction analysis with real software fault count data.
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Keyword(in English) software reliability / binomial software reliability model / equilibrium distribution / goodness-of-fit test / prediction analysis
Paper # R2012-14
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Committee R
Conference Date 2012/6/8(1days)
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Title (in Japanese) (See Japanese page)
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Title (in English) On the Role of Equilibrium Distribution in Binomial Software Reliability Modeling
Sub Title (in English)
Keyword(1) software reliability
Keyword(2) binomial software reliability model
Keyword(3) equilibrium distribution
Keyword(4) goodness-of-fit test
Keyword(5) prediction analysis
1st Author's Name Xiao XIAO
1st Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University()
2nd Author's Name Tadashi DOHI
2nd Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University
Date 2012-06-15
Paper # R2012-14
Volume (vol) vol.112
Number (no) 82
Page pp.pp.-
#Pages 6
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