Change search
ReferencesLink to record
Permanent link

Direct link
Automatic Consequence Analysis of Automotive Standards (AUTO-CAAS) [Position Paper]
Quviq AB, Gothenburg, Sweden.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-4869-6794
2015 (English)In: WASA '15: Proceedings of the First International Workshop on Automotive Software Architecture / [ed] Yanja Dajsuren, Harald Altinger & Miroslaw Staron, New York, NY: ACM Press, 2015, 35-38 p.Conference paper (Refereed)
Abstract [en]

This paper provides some background and the roadmap of the AUTO-CAAS project, which is a 3-year project financed by the Swedish Knowledge Foundation and is ongoing as a joint project among three academic and industrial partners. The aim of the project is to exploit the formal models of the AUTOSAR standard, developed by the industrial partner of the project Quviq AB, in order to predict possible future failures in concrete implementations of components. To this end, the deviations from the formal specification will be exploited to generate test-cases that can push concrete components to the corners where such deviation will result in observable failures. The same information will also be used in the diagnosis of otherwise detected failures in order to pinpoint their root causes.

Place, publisher, year, edition, pages
New York, NY: ACM Press, 2015. 35-38 p.
Keyword [en]
Automotive Software, Embedded and cyber-physical systems, Model-Based Testing, Diagnosis
National Category
Software Engineering
URN: urn:nbn:se:hh:diva-29102DOI: 10.1145/2752489.2752495ISBN: 978-1-4503-3444-0OAI: diva2:844855
First International Workshop on Automotive Software Architectures (WASA 2015), Montréal, QC, Canada, May 4, 2015
Knowledge Foundation, 20140302Swedish Research Council, 621-2014-5057
Available from: 2015-08-10 Created: 2015-08-10 Last updated: 2016-02-23Bibliographically approved

Open Access in DiVA

fulltext(232 kB)83 downloads
File information
File name FULLTEXT01.pdfFile size 232 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Mousavi, Mohammad Reza
By organisation
Centre for Research on Embedded Systems (CERES)
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 83 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 87 hits
ReferencesLink to record
Permanent link

Direct link