cfaed Publications

Achieving Determinism in Adaptive AUTOSAR

Reference

Christian Menard, Andrés Goens, Marten Lohstroh, Jeronimo Castrillon, "Achieving Determinism in Adaptive AUTOSAR" , Proceedings of the 2020 Design, Automation and Test in Europe Conference (DATE), IEEE, pp. 822–827, Mar 2020. (Best paper award candidate A-Track, Video Presentation) [doi]

Abstract

AUTOSAR AP is an emerging industry standard that tackles the challenges of modern automotive software design, but does not provide adequate mechanisms to enforce deterministic execution. This poses profound challenges to testing and maintenance of the application software, which is particularly problematic for safety-critical applications. In this paper, we analyze the problem of nondeterminism in AP and propose a framework for the design of deterministic automotive software that transparently integrates with the AP communication mechanisms. We illustrate our approach in a case study based on the brake assistant demonstrator application that is provided by the AUTOSAR consortium. We show that the original implementation is nondeterministic and discuss a deterministic solution based on our framework.

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https://cfaed.tu-dresden.de/publications?pubId=2545


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