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A benchmark for quantitative fault tree reliability analysis

机译:定量故障树可靠性分析的基准

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Reliability analysis of critical computer-based systems is often performed using software tools, typically using fault tree analysis. Many software tools are available, either commercially or from university research groups, and each tool uses different solution techniques, ranging from fast approximations to more complex analysis such as Markov analysis or binary decision diagrams. Analysts are thus faced with the difficult task of validating a tool which is being considered for use in a real application. One approach to verification might be to select a set of representative examples, and compare the tool results with some known set of "correct" solutions. However, the development of a reliable benchmark can be time consuming, and the determination of the correct result may be very difficult. It would therefore be very useful if there was a published benchmark, with the correct solutions, from which the analyst could select test cases. Towards this goal the authors present a set of example systems and their analysis. They use these examples to help validate theirr dynamic fault tree analysis tool, Galileo. Their goal is to gather a set of representative examples which are reasonably challenging and which are derived from real systems.
机译:关键的基于计算机的系统的可靠性分析通常使用软件工具进行,通常使用故障树分析。商业上或大学研究小组可以使用许多软件工具,每种工具都使用不同的解决方案技术,从快速逼近到更复杂的分析(例如马尔可夫分析或二进制决策图)。因此,分析人员面临着验证工具的艰巨任务,该工具被认为可以在实际应用中使用。验证的一种方法可能是选择一组代表性示例,然后将工具结果与某些已知的“正确”解决方案进行比较。但是,开发可靠的基准可能很耗时,并且确定正确的结果可能非常困难。因此,如果有一个已发布的基准测试和正确的解决方案,分析师可以从中选择测试用例,将非常有用。为了实现这一目标,作者提出了一组示例系统及其分析。他们使用这些示例来帮助验证其动态故障树分析工具Galileo。他们的目标是收集一组具有代表性的示例,这些示例具有相当的挑战性,并且是从真实系统中派生的。

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