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Automated End-to-End Timing Analysis of AUTOSAR-based Causal Event Chains

机译:基于Autosar的因果事件链的自动端到端时序分析

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Reflecting the ever-increasing complexity of automotive embedded systems and their stringent timing requirements, a significant level of automated tooling is imperative to enhance software quality. In this context, though AUTOSAR-based systems are nowadays more often developed using powerful Unified Modeling Language (UML) tools, there is a lack of an integrated approach and automated tooling for validation of timing properties. Addressing this aspect, a systematic software engineering and automation approach for timing analysis of AUTOSAR-based systems, already early in the design stages, in state-of-the-practice timing analysis tools is presented. A specific example of a widely used timing analysis measure for automotive systems namely, end-to-end delay analysis is described with the help of an AUTOSAR-based causal event chain example. The practical relevance of the approach is demonstrated by evaluating it in an elaborate automotive case study.
机译:反映汽车嵌入式系统的不断复杂性及其严格的时序要求,显着的自动化工具必须增强软件质量。 在这种情况下,虽然现在使用强大的统一建模语言(UML)工具更常开发的基于Autoar的系统,但缺乏集成方法和自动换刀,用于验证定时属性。 介绍了这个方面,提出了一种系统的软件工程和自动化分析,用于在设计阶段,在设计阶段的早期进行的基于汽车的系统的定时分析,在实践状态分析工具中。 借助于基于汽车的因果关系链示例,描述了用于汽车系统的广泛使用的时序分析测量的具体示例即,结束延迟分析。 通过在精心制定的汽车案例研究中评估它来证明该方法的实际相关性。

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