Conservative claims for the probability of perfection of a software-based system using operational experience of previous similar systems
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DOI: 10.1016/j.ress.2018.03.032
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References listed on IDEAS
- Bunea, C. & Charitos, T. & Cooke, R.M. & Becker, G., 2005. "Two-stage Bayesian models—application to ZEDB project," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 123-130.
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Cited by:
- Qing Tian & Chun-Wu Yeh & Chih-Chiang Fang, 2022. "Bayesian Decision Making of an Imperfect Debugging Software Reliability Growth Model with Consideration of Debuggers’ Learning and Negligence Factors," Mathematics, MDPI, vol. 10(10), pages 1-21, May.
- Qing Tian & Chih-Chiang Fang & Chun-Wu Yeh, 2022. "Software Release Assessment under Multiple Alternatives with Consideration of Debuggers’ Learning Rate and Imperfect Debugging Environment," Mathematics, MDPI, vol. 10(10), pages 1-24, May.
- Littlewood, Bev & Salako, Kizito & Strigini, Lorenzo & Zhao, Xingyu, 2020. "On reliability assessment when a software-based system is replaced by a thought-to-be-better one," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
- Popov, Peter, 2021. "Conservative reliability assessment of a 2-channel software system when one of the channels is probably perfect," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
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Keywords
Fault-free software; Probability of perfection; 1-out-of-2 system reliability; Software diversity; Operational experience; Bayesian modeling; Limited prior belief; Guaranteed-conservative reliability claims;All these keywords.
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