https://www.mdu.se/

mdu.sePublications
System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
MoVES Meets the Real World Automotive Benchmarks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Vasteras, Sweden..ORCID iD: 0000-0002-8027-0611
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Vasteras, Sweden..ORCID iD: 0000-0003-3242-6113
2020 (English)In: 2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), IEEE , 2020, p. 243-248Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a model-driven development methodology for automotive real-time embedded systems that is augmented according to realistic but intellectual property free automotive benchmarks. The augmentation correspond to the enrichment of various real-time properties and design decisions in the methodology, including the specification of different activation rates and patterns along embedded software component chains. These chains can be deployed within Electronic Control Units as well as on multiple distributed Electronic Control Units connected by on-board networks. This is achieved by extending the modelling language pillar of the methodology with structural elements and constraints guiding the specification of the activation rates and enforcing the activation patterns in the chains. The proposed extensions automatically discard non-complying activation rates along the chains and aid the engineer to select valid activation rates according to the automotive benchmarks. The extended methodology reduces the complexity of software development in automotive real-time embedded systems.

Place, publisher, year, edition, pages
IEEE , 2020. p. 243-248
Series
IEEE International Conference on Industrial Technology, ISSN 2643-2978
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-49866DOI: 10.1109/ICIT45562.2020.9067182ISI: 000560681600036Scopus ID: 2-s2.0-85084145298ISBN: 978-1-7281-5754-2 (print)OAI: oai:DiVA.org:mdh-49866DiVA, id: diva2:1463866
Conference
IEEE International Conference on Industrial Technology (ICIT), FEB 26-28, 2020, Buenos Aires, ARGENTINA
Available from: 2020-09-03 Created: 2020-09-03 Last updated: 2020-11-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Bucaioni, AlessioMubeen, Saad

Search in DiVA

By author/editor
Bucaioni, AlessioMubeen, Saad
By organisation
Embedded Systems
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 83 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf