支持工业使用的概率时序分析与明确的论证

Z. Stephenson, J. Abella, T. Vardanega
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引用次数: 16

摘要

一般而言,概率时序分析(PTA)及其基于度量的变体(称为MBPTA)具有减轻损害当前最坏情况执行时间(WCET)分析技术的问题的潜力,无论是在工业实践中还是在最先进的研究中。MBPTA可以计算软件程序执行时间的严格上界,它表示为概率超越函数,而不需要太多关于系统硬件和软件内部的信息。为了在实践中利用这种能力,必须构造一些合理的论据来解释为什么该方法是合适的。本文详细介绍了我们构建这种论证的经验,并特别说明了论证的结构如何使其易于配置以满足不同行业的需要。
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Supporting industrial use of probabilistic timing analysis with explicit argumentation
Probabilistic Timing Analysis (PTA) in general and its measurement-based variant called MBPTA in particular have potential for mitigating the problems that impair current worstcase execution time (WCET) analysis techniques whether as in industrial practice or in state-of-the-art research. MBPTA can compute tight upper bounds on the execution time of software programs, which it expresses as probabilistic exceedance functions, without needing much information on the hardware and software internals of the system. To exploit this capability in practice, some reasoned argument must be constructed to explain why the method is suitable. This paper details our experience with the construction of such an argument, and in particular shows how the structure of the argument allows it to be easily configured for the needs of different industries.
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