Presentation | 2007-07-13 A Statistical Approach for Software Release Problem Tetsuya SAKOH, Hiroyuki OKAMURA, Tadashi DOHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we consider a statistical approach for software release problem. In particular, we focus on the development of risk assessment for the uncertainty of parameter estimation in the release problem. To realize this purpose, the Bayesian estimation is applied to estimate model parameters and derives the Value-at-Risk (VaR) of software release time. To compute the VaR, we use the variational Bayes technique for the posterior distribution. Finally, we derive the cost distribution by using the variational posterior distribution for a given release time, and formulate the VaR of software release time. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | software reliabilty model / software release problem / Bayesian estimation / risk assessment |
Paper # | R2007-24 |
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Committee | R |
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Conference Date | 2007/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A Statistical Approach for Software Release Problem |
Sub Title (in English) | |
Keyword(1) | software reliabilty model |
Keyword(2) | software release problem |
Keyword(3) | Bayesian estimation |
Keyword(4) | risk assessment |
1st Author's Name | Tetsuya SAKOH |
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 | 2007-07-13 |
Paper # | R2007-24 |
Volume (vol) | vol.107 |
Number (no) | 137 |
Page | pp.pp.- |
#Pages | 6 |
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