| Presentation | 2010-05-28 Software Failure Data Analysis with Kernel-based Approaches Toshio KANEISHI, Tadashi DOHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The software failure data analysis is used for reliability assessment with the software fault information observed in testing phase. In general it is common to derive quantitative software reliability measures such as software reliability, by describing the software fault-detection process via any parametric family of stochastic point processes. While, since no best parametric model to represenet every software fault-detection pattern has been known, an effectiveness of non-parametric model is pointed out in the literature. In this article we evaluate comprehensively the estimation/prediction accuracy on non-parametric software reliability models with several kernel functions and cross-validation methods in applying them to the software failure data analysis. More specifically, we refer to the applicability of these non-parametric software reliability assessment in experiments with the software fault data observed in actual software testing. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Software reliability model / NHPP / Kernel intensity / Kernel density / Non-parametric estimation / Local likelihood method |
| Paper # | R2010-12 |
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| Conference Information | |
| Committee | R |
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| Conference Date | 2010/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Reliability(R) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Software Failure Data Analysis with Kernel-based Approaches |
| Sub Title (in English) | |
| Keyword(1) | Software reliability model |
| Keyword(2) | NHPP |
| Keyword(3) | Kernel intensity |
| Keyword(4) | Kernel density |
| Keyword(5) | Non-parametric estimation |
| Keyword(6) | Local likelihood method |
| 1st Author's Name | Toshio KANEISHI |
| 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 Informatics, Faculty of Engineering, Hiroshima University |
| Date | 2010-05-28 |
| Paper # | R2010-12 |
| Volume (vol) | vol.110 |
| Number (no) | 62 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |