工业实时系统代码中WCET计算自动流程分析的评价

Dani Barkah, Andreas Ermedahl, J. Gustafsson, B. Lisper, C. Sandberg
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引用次数: 17

摘要

静态最坏情况执行时间(WCET)分析可导出程序执行时间的上界。这种分析需要关于可能的程序流程的信息。目前的做法是手动提供这些信息,这可能很费力,而且容易出错。另一种方法是通过自动流分析来获得这些信息。在本文中,我们提出了一个案例研究,在工业实时系统代码上测试了自动流程分析方法。相同的代码是早期WCET案例研究的主题,在那里使用流信息的手动注释对其进行分析。本研究的目的是了解在多大程度上可以自动找到相同的流动信息。结果表明,在大多数情况下,这确实是可能的,并且我们可以使用自动生成的流量信息得出可比较的WCET估计。此外,还获得了使流分析方法在实际生产代码上工作所需的有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Automatic Flow Analysis for WCET Calculation on Industrial Real-Time System Code
A static worst-case execution time (WCET) analysis derives upper bounds for the execution times of programs. Such analysis requires information about the possible program flows. The current practice is to provide this information manually, which can be laborious and error-prone. An alternative is to derive this information through an automated flows analysis.In this article, we present a case study where an automatic flows analysis method was tested on industrial real-time system code. The same code was the subject of an earlier WCET case study, where it was analysed using manual annotations for the flows information. The purpose of the current study was to see to which extent the same flows information could be found automatically. The results show that for the most part this is indeed possible, and we could derive comparable WCET estimates using the automatically generated flow information. In addition, valuable insights were gained on what is needed to make flow analysis methods work on real production code.
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