可靠性和安全性实证评估研讨会

M. Cukier, I. Rus
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引用次数: 1

摘要

可靠性的实证评价是对建模和分析方法的补充。虽然经验性评价适用于实际系统,而且更现实、更准确,并提供更高程度的信心,但由于多种原因,它没有被广泛使用:它耗时费力;结果的可移植性有限;没有基准来定义要收集哪些度量、如何度量数据、如何报告数据、指示“好”和“坏”值范围的模型是什么,以及如何比较不同系统的值。由于这些挑战,很少有结果和经验数据可用于可靠性评估、比较和基准测试。认识到这些挑战,但也需要经验可靠性评估,本次研讨会将汇集研究人员和实践者分享他们的解决方案和结果,以及记录他们的需求,问题,以及关于这个主题的想法。研讨会将包括演讲和实践环节,参与者将为预先选择的问题寻找解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Workshop on Empirical Evaluation of Dependability and Security (WEEDS)
Empirical evaluation of dependability is a complement to modeling and analytical methods. Although empirical evaluation applies to real systems and is more realistic, more accurate, and provides a higher level of confidence, it is not extensively used, for multiple reasons: it is time and effort consuming; the results have limited portability; there are no benchmarks to define what measures to be collected, how to measure the data, how to report it, what are the models that indicate the ranges of "good" and "bad" values, and how to compare the values for different systems. Due to these challenges, very few results and empirical data are available for dependability evaluation, comparison, and benchmarking. Acknowledging these challenges, but also the need for empirical dependability evaluation, this workshop will bring together researchers and practitioners for sharing their solutions and results, as well as for documenting their needs, problems, and ideas with respect to this topic. The workshop will include presentations and a hands-on session where participants will work on finding solutions to pre-selected questions.
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