Presentation 2012-07-27
Development of Software Reliability Models with Kernel Methods
Kei OKUMURA, Hiroyuki OKAMURA, Tadashi DOHI,
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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.
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Keyword(in English) Software reliability growth model / software metrics / Poisson regression / kernel methods
Paper # R2012-15
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Committee R
Conference Date 2012/7/20(1days)
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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
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