Demo Abstract: Demonstration of the FMTV 2016 Timing Verification Challenge

A. Hamann, D. Ziegenbein, S. Kramer, M. Lukasiewycz
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引用次数: 8

Abstract

The complex dynamic behavior of automotive software systems, in particular engine management, in combination with emerging multi-core execution platforms, significantly increased the problem space for timing analysis methods. As a result, the risk of divergence between academic research and industrial practice is currently increasing. Therefore, we provided a concrete automotive benchmark for the Formal Methods for Timing Verification (FMTV) challenge 2016 (https://waters2016.inria.fr/challenge/), a full blown performance model of a modern engine management system (downloadable at http://ecrts.eit.uni-kl.de/forum/viewtopic.php?f=27&t=62), with the goal to challenge existing timing analysis approaches with respect to their expressiveness and precision. In the demo session we will present the performance model of the engine management system using the Amalthea tool (http://www.amalthea-project.org/). Furthermore, we will show the model in action using professional timing tools such as from Symtavision (https://www.symtavision.com/), Timing Architects (http://www.timing-architects.com/), and Inchron (https://www.inchron.de/). Thereby, the focus will lie on determining tight end-to-end latency bounds for a set of given cause-effect chains. This is challenging since the dynamic behavior of a engine management software is quite complex and contains mechanisms that explore the limits of existing academic approaches: preemptive and cooperative priority based scheduling; periodic, sporadic, and engine synchronous tasks; multi-core platform with distributed cause-effect chains including cross-core communication; label (i.e. data) placement dependent execution times of runnables Overall the demo gives an impression of the current state-of-practice in industrial product development, and serves as baseline for further academic research.
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摘要:FMTV 2016时序验证挑战赛演示
汽车软件系统的复杂动态行为,特别是发动机管理,与新兴的多核执行平台相结合,大大增加了正时分析方法的问题空间。因此,学术研究和工业实践之间分歧的风险目前正在增加。因此,我们为2016年正时验证的正式方法(FMTV)挑战赛(https://waters2016.inria.fr/challenge/)提供了一个具体的汽车基准,这是一个现代发动机管理系统的完整性能模型(可在http://ecrts.eit.uni-kl.de/forum/viewtopic.php?f=27&t=62下载),其目标是挑战现有的正时分析方法的表达性和准确性。在演示环节中,我们将使用Amalthea工具(http://www.amalthea-project.org/)展示发动机管理系统的性能模型。此外,我们将使用专业的计时工具,如Symtavision (https://www.symtavision.com/)、timing Architects (http://www.timing-architects.com/)和Inchron (https://www.inchron.de/)来展示实际运行中的模型。因此,重点将放在确定一组给定因果链的紧密端到端延迟边界上。这是具有挑战性的,因为发动机管理软件的动态行为非常复杂,并且包含探索现有学术方法局限性的机制:基于抢占和合作优先级的调度;周期性、偶发和引擎同步任务;具有分布式因果链的多核平台,包括跨核通信;总体而言,演示给出了工业产品开发中当前实践状态的印象,并为进一步的学术研究提供了基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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