Achieving Determinism in Adaptive AUTOSAR

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

AUTOSAR Adaptive Platform (AP) is an emerging industry standard that tackles the challenges of modern auto-motive 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.

Details

OriginalspracheEnglisch
Titel2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Redakteure/-innenGiorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu
Herausgeber (Verlag)IEEE, New York [u. a.]
Seiten822-827
Seitenumfang6
ISBN (elektronisch)978-3-9819263-4-7
ISBN (Print)978-1-7281-4468-9
PublikationsstatusVeröffentlicht - März 2020
Peer-Review-StatusJa

Publikationsreihe

ReiheDesign, Automation and Test in Europe Conference and Exhibition (DATE)
ISSN1530-1591

Konferenz

Titel2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
Dauer9 - 13 März 2020
StadtGrenoble
LandFrankreich

Externe IDs

ORCID /0000-0002-5007-445X/work/141545527

Schlagworte

Forschungsprofillinien der TU Dresden

Schlagwörter

  • automotive engineering, reliability and testing, software and system safety, software engineering