Bayesian Approach to Optimal Release Policy of Software System(Reliability, Maintainability and Safety Analysis)
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概要
- 論文の詳細を見る
In this paper, we propose a new software reliability growth model which is the mixture of two exponential reliability growth models, one of which has the reliability growth and the other one does not have the reliability growth after the software is released upon completion of testing phase. The mixture of two such models is characterized by a weighted factor p, which is the proportion of reliability growth part within the model. Firstly, this paper discusses an optimal software release problem with regard to the expected total software cost incurred during the warranty period under the proposed software reliability growth model, which generalizes Kimura, Toyota and Yamada's (1999) model with consideration of the weighted factor. The second main purpose of this paper is to apply the Bayesian approach to the optimal software release policy by assuming the prior distributions for the unknown parameters contained in the proposed software reliability growth model. Some numerical examples are presented for the purpose of comparing the optimal software release policies depending on the choice of parameters by the non-Bayesian and Bayesian methods.
- 社団法人電子情報通信学会の論文
- 2005-12-01
著者
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YAMADA Shigeru
Department of Social Systems Engineering, Faculty of Engineering, Tottori University
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Park Dong
Department Of Radio Science And Engineering Chungnam National University
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KIM Hee
School of Materials Science and Engineering, Seoul National University
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Kim Hee
School Of Materials Science And Engineering Seoul National University
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Yamada Shigeru
Department Of Social Systems Engineering Faculty Of Engineering Tottori University
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Park Dong
Department Of Acupuncture & Moxibustion College Of Oriental Medicine
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Kim Hee
Customs And Trade Laboratory Korea Customs And Trade Development Institute
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Yamada Shigeru
Department Of Food & Health Sciences Faculty Of Human Life Sciences Jissen Women's Universi
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Kim Hee
School Of Animal Bioscience & Technology Konkuk University
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PARK Dong
Department of Information and Statistics, Hallym University
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Yamada Shigeru
Department of Biological Science and Technology, Science University of Tokyo
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