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Test based safety-critical software reliability estimation using Bayesian method and flow network structure

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  • Yaguang Yang

Abstract

System safety is closely related to system reliability. Safety requirements many times are translated to reliability requirements. Nowadays, software systems exist in many engineering systems. However, there is no consensus method for software reliability estimation. On the contrary, there is an increasing interest in estimating the software reliability due to concerns for safety-critical systems. In this article, we try to close the gap by proposing a systematic and probabilistic method to estimate the software reliability based on software test data.

Suggested Citation

  • Yaguang Yang, 2019. "Test based safety-critical software reliability estimation using Bayesian method and flow network structure," Journal of Risk and Reliability, , vol. 233(5), pages 847-856, October.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:5:p:847-856
    DOI: 10.1177/1748006X19833598
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    References listed on IDEAS

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    1. P. K. Kapur & H. Pham & A. Gupta & P. C. Jha, 2011. "Software Reliability Growth Models," Springer Series in Reliability Engineering, in: Software Reliability Assessment with OR Applications, chapter 0, pages 49-95, Springer.
    2. Bishop, Peter & Bloomfield, Robin & Littlewood, Bev & Popov, Peter & Povyakalo, Andrey & Strigini, Lorenzo, 2014. "A conservative bound for the probability of failure of a 1-out-of-2 protection system with one hardware-only and one software-based protection train," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 61-68.
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