Achieving Determinism in Adaptive AUTOSAR
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-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 language | English |
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Title of host publication | 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) |
Editors | Giorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu |
Publisher | IEEE, New York [u. a.] |
Pages | 822-827 |
Number of pages | 6 |
ISBN (electronic) | 978-3-9819263-4-7 |
ISBN (print) | 978-1-7281-4468-9 |
Publication status | Published - Mar 2020 |
Peer-reviewed | Yes |
Publication series
Series | Design, Automation and Test in Europe Conference and Exhibition (DATE) |
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ISSN | 1530-1591 |
Conference
Title | 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 |
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Duration | 9 - 13 March 2020 |
City | Grenoble |
Country | France |
External IDs
ORCID | /0000-0002-5007-445X/work/141545527 |
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Keywords
Research priority areas of TU Dresden
ASJC Scopus subject areas
Keywords
- automotive engineering, reliability and testing, software and system safety, software engineering