Achieving Determinism in Adaptive AUTOSAR

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

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

Original languageEnglish
Title of host publication2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
EditorsGiorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu
PublisherIEEE, New York [u. a.]
Pages822-827
Number of pages6
ISBN (electronic)978-3-9819263-4-7
ISBN (print)978-1-7281-4468-9
Publication statusPublished - Mar 2020
Peer-reviewedYes

Publication series

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

Conference

Title2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020
Duration9 - 13 March 2020
CityGrenoble
CountryFrance

External IDs

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

Keywords

Research priority areas of TU Dresden

Keywords

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