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Supporting timing analysis of vehicular embedded systems through the refinement of timing constraints

机译:通过优化时序约束来支持车载嵌入式系统的时序分析

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The collective use of several models and tools at various abstraction levels and phases during the development of vehicular distributed embedded systems poses many challenges. Within this context, this paper targets the challenges that are concerned with the unambiguous refinement of timing requirements, constraints and other timing information among various abstraction levels. Such information is required by the end-to-end timing analysis engines to provide pre-run-time verification about the predictability of these systems. The paper proposes an approach to represent and refine such information among various abstraction levels. As a proof of concept, the approach provides a representation of the timing information at the higher levels using the models that are developed with EAST-ADL and Timing Augmented Description Language. The approach then refines the timing information for the lower abstraction levels. The approach exploits the Rubus Component Model at the lower level to represent the timing information that cannot be clearly specified at the higher levels, such as trigger paths in distributed chains. A vehicular-application case study is conducted to show the applicability of the proposed approach.
机译:在车辆分布式嵌入式系统的开发过程中,在各种抽象级别和各个阶段共同使用几种模型和工具提出了许多挑战。在此背景下,本文针对与各种抽象级别之间的时序要求,约束和其他时序信息的明确改进有关的挑战。端到端时序分析引擎需要此类信息来提供有关这些系统的可预测性的运行前验证。本文提出了一种在各种抽象级别之间表示和完善此类信息的方法。作为概念证明,该方法使用由EAST-ADL和时序增强描述语言开发的模型在较高级别上提供时序信息的表示。然后,该方法会为较低的抽象级别优化时序信息。该方法利用较低级别的Rubus组件模型来表示无法在较高级别上明确指定的时序信息,例如分布式链中的触发路径。进行了车辆应用案例研究,以显示所提出方法的适用性。

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