| Presentation | 2018-05-25 Bayesian Interval Estimation of Optimal Software Release Time Based on a Discretized NHPP Model Shinji Inoue, Shigeru Yamada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We discuss an approach for obtaining interval estimation of optimal software release time which is derived by a discretized software reliability growth model. The discretized software reliability growth model 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 and flexible software management with their uncertainty because most of software reliability data are incomplete. We apply the Gibbs sampling method, which is one of the Markov chain Monte Carlo (MCMC) method, for sampling from the full conditional posterior distribution of the model parameters. The full conditional posterior distribution can be derived by following the Bayes' theory. The probability distributions of optimal software release time can be obtained through this procedures. Further, we show numerical examples of our approach by using actual fault count data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Software reliability growth model / Software reliability assessment / Discretized model / Interval estimation / Markov chain Monte Carlo method / Optimal software release problem |
| Paper # | R2018-4 |
| Date of Issue | 2018-05-18 (R) |
| Conference Information | |
| Committee | R |
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| Conference Date | 2018/5/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Aichi Institute of Technology, Motoyama Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Reliability, Overall reliability engineering |
| 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 |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Bayesian Interval Estimation of Optimal Software Release Time Based on a Discretized NHPP Model |
| Sub Title (in English) | |
| Keyword(1) | Software reliability growth model |
| Keyword(2) | Software reliability assessment |
| Keyword(3) | Discretized model |
| Keyword(4) | Interval estimation |
| Keyword(5) | Markov chain Monte Carlo method |
| Keyword(6) | Optimal software release problem |
| 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 | 2018-05-25 |
| Paper # | R2018-4 |
| Volume (vol) | vol.118 |
| Number (no) | R-64 |
| Page | pp.pp.19-24(R), |
| #Pages | 6 |
| Date of Issue | 2018-05-18 (R) |