用实例研究了可靠性估计对运行剖面误差的敏感性

Mei-Hwa Chen, A. Mathur, V. Rego
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引用次数: 41

摘要

我们报告了一个案例研究,以调查操作剖面中错误对可靠性估计的影响。在本研究中使用了先前报道的名为TERSE的工具来生成表示程序的随机流程图、操作剖面中的模型错误以及计算可靠性估计。考虑了四种可靠性估计模型:Musa-Okumoto模型、Goel-Okumoto模型、覆盖增强型Musa-Okumoto模型和覆盖增强型Goel-Okumoto模型。结果表明,这些模型的可靠性估计误差随运行剖面误差呈非线性增长。本案例研究的结果证明,需要进一步研究以开发更稳健的可靠性估计模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A case study to investigate sensitivity of reliability estimates to errors in operational profile
We report a case study to investigate the effect of errors in an operational profile on reliability estimates. A previously reported tool named TERSE was used in this study to generate random flow graphs representing programs, model errors in operational profile, and compute reliability estimates. Four models for reliability estimation were considered: the Musa-Okumoto model, the Goel-Okumoto model, coverage enhanced Musa-Okumoto model, and coverage enhanced Goel-Okumoto model. It was found that the error in reliability estimates from these models grows nonlinearly with errors in operational profile. Results from this case study lend credit to the argument that further research is necessary in development of more robust models for reliability estimation.<>
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