| Presentation | 2019-12-13 Lindley Type Distributions and Software Reliability Assessment Qi Xiao, Tadashi Dohi, Hiroyuki Okamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Dennis Victor Lindley proposed an interesting one-parameter continuous probability distribition, which is called Lindley distribution, in the context of Fiducial and Bayesian statistics. Recently, the Lindley distribution has received considerable attentions and been applied to the life data analysis for several products in stead of the common exponential distribution. In this paper, we propose to use the Lindley distribution and its variations to represent the software fault-detection time distribution, and develop somewhat different non-homogeneous Poisson process (NHPP)-based software reliability models (SRMs). The resulting SRMs are compared with the existing NHPP-based SRMs with the well-known fault-detection time distributions which can be categorized into the exponential family and the extreme distributions. Through numerical examples with the fault count data observed in actual software development projects, we show the usefulness of the Lindley type SRMs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | software reliability models / non-homogeneous Poisson processes / Lindley distribution / mixture probability distribution / goodness-of-fit performance / predictive performance |
| Paper # | R2019-53 |
| Date of Issue | 2019-12-06 (R) |
| Conference Information | |
| Committee | R |
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| Conference Date | 2019/12/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akira Asato(Fujitsu) |
| Vice Chair | Tadashi Dohi(Hiroshima Univ.) |
| Secretary | Tadashi Dohi(Hosei Univ.) |
| Assistant | Hiroyuki Okamura(Hiroshima Univ.) / Shinji Yokogawa(Univ. of Electro-Comm.) |
| 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) | Lindley Type Distributions and Software Reliability Assessment |
| Sub Title (in English) | |
| Keyword(1) | software reliability models |
| Keyword(2) | non-homogeneous Poisson processes |
| Keyword(3) | Lindley distribution |
| Keyword(4) | mixture probability distribution |
| Keyword(5) | goodness-of-fit performance |
| Keyword(6) | predictive performance |
| 1st Author's Name | Qi Xiao |
| 1st Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 2nd Author's Name | Tadashi Dohi |
| 2nd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 3rd Author's Name | Hiroyuki Okamura |
| 3rd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| Date | 2019-12-13 |
| Paper # | R2019-53 |
| Volume (vol) | vol.119 |
| Number (no) | R-337 |
| Page | pp.pp.19-24(R), |
| #Pages | 6 |
| Date of Issue | 2019-12-06 (R) |