Presentation | 2012-07-27 Development of Software Reliability Models with Kernel Methods Kei OKUMURA, Hiroyuki OKAMURA, Tadashi DOHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a software reliability growth model (SRGM) using kernel methods. In recent years, several papers have presented SRGMs which deal with software metrics. However these models require us to select a set of software metrics before evaluating the software reliability. In general, it is difficult to determine the best set of software metrics to estimate the reliability, but it strongly affects the predictive performance of metrics-based SRGMs. In this paper, by using kernel methods that map into a high dimensional feature space, we develop an SRGM without software metrics selection. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Software reliability growth model / software metrics / Poisson regression / kernel methods |
Paper # | R2012-15 |
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Committee | R |
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Conference Date | 2012/7/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Reliability(R) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Development of Software Reliability Models with Kernel Methods |
Sub Title (in English) | |
Keyword(1) | Software reliability growth model |
Keyword(2) | software metrics |
Keyword(3) | Poisson regression |
Keyword(4) | kernel methods |
1st Author's Name | Kei OKUMURA |
1st Author's Affiliation | Department of Information Engineering, Graduate School of Engineering, Hiroshima University() |
2nd Author's Name | Hiroyuki OKAMURA |
2nd Author's Affiliation | Department of Information Engineering, Graduate School of Engineering, Hiroshima University |
3rd Author's Name | Tadashi DOHI |
3rd Author's Affiliation | Department of Information Engineering, Graduate School of Engineering, Hiroshima University |
Date | 2012-07-27 |
Paper # | R2012-15 |
Volume (vol) | vol.112 |
Number (no) | 160 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |