Presentation 2017-07-28
Software Reliability Assessment Based on a Discretized Model by Bayes' Theory
Shinji Inoue, Shigeru Yamada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We discuss an interval estimation approach for model parameters and software reliability assessment measures of a discretized software reliability model, which has a consistency with an actual collecting activity of discrete software fault-count data and is expected to conduct highly-accurate assessment of software reliability. The interval estimation must be useful for conducting software reliability assessment because most of software reliability data are incomplete. Concretely speaking, we derive conditional probability distributions of model parameters by following the Bayes' theory. Then, we apply the Gibbs sampling method, which is one of the Markov chain Monte Carlo (MCMC) method, for sampling the model parameters from the derived conditional probability distributions of model parameters. The probability distributions of model parameters can be obtained through this procedures. Further, this paper shows numerical examples of our approach by using actual fault count data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Software reliability model / Software reliability assessment / Discretized model / Interval estimation / Markov chain Monte Carlo method
Paper # R2017-23
Date of Issue 2017-07-21 (R)

Conference Information
Committee R
Conference Date 2017/7/28(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Wakkanai Sun Hotel
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tetsushi Yuge(National Defense Academy)
Vice Chair Akira Asato(Fujitsu)
Secretary Akira Asato(Hosei Univ.)
Assistant Shinji Inoue(Kansai Univ.) / Hiroyuki Okamura(Hiroshima Univ.)

Paper Information
Registration To Technical Committee on Reliability
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Software Reliability Assessment Based on a Discretized Model by Bayes' Theory
Sub Title (in English)
Keyword(1) Software reliability model
Keyword(2) Software reliability assessment
Keyword(3) Discretized model
Keyword(4) Interval estimation
Keyword(5) Markov chain Monte Carlo method
1st Author's Name Shinji Inoue
1st Author's Affiliation Kansai University(Kansai Univ.)
2nd Author's Name Shigeru Yamada
2nd Author's Affiliation Tottori University(Tottori Univ.)
Date 2017-07-28
Paper # R2017-23
Volume (vol) vol.117
Number (no) R-161
Page pp.pp.55-60(R),
#Pages 6
Date of Issue 2017-07-21 (R)