Achieving Determinism in Adaptive AUTOSAR
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
Originalsprache | Englisch |
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Titel | 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) |
Redakteure/-innen | Giorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu |
Herausgeber (Verlag) | IEEE, New York [u. a.] |
Seiten | 822-827 |
Seitenumfang | 6 |
ISBN (elektronisch) | 978-3-9819263-4-7 |
ISBN (Print) | 978-1-7281-4468-9 |
Publikationsstatus | Veröffentlicht - März 2020 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | Design, Automation and Test in Europe Conference and Exhibition (DATE) |
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ISSN | 1530-1591 |
Konferenz
Titel | 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 |
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Dauer | 9 - 13 März 2020 |
Stadt | Grenoble |
Land | Frankreich |
Externe IDs
ORCID | /0000-0002-5007-445X/work/141545527 |
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Schlagworte
Forschungsprofillinien der TU Dresden
ASJC Scopus Sachgebiete
Schlagwörter
- automotive engineering, reliability and testing, software and system safety, software engineering