IEICE TRANSACTIONS on Fundamentals
Bayesian Approach to Optimal Release Policy of Software System
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.12 pp.3618-3626
- Publication Date
- 2005/12/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.12.3618
- Type of Manuscript
- PAPER
- Category
- Reliability, Maintainability and Safety Analysis
Authors
Keyword
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HeeSoo KIM, Shigeru YAMADA, DongHo PARK, "Bayesian Approach to Optimal Release Policy of Software System" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 12, pp. 3618-3626, December 2005, doi: 10.1093/ietfec/e88-a.12.3618.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.12.3618/_p
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@ARTICLE{e88-a_12_3618,
author={HeeSoo KIM, Shigeru YAMADA, DongHo PARK, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Bayesian Approach to Optimal Release Policy of Software System},
year={2005},
volume={E88-A},
number={12},
pages={3618-3626},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e88-a.12.3618},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Bayesian Approach to Optimal Release Policy of Software System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3618
EP - 3626
AU - HeeSoo KIM
AU - Shigeru YAMADA
AU - DongHo PARK
PY - 2005
DO - 10.1093/ietfec/e88-a.12.3618
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2005
AB - 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.
ER -
English
