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Developing Predictable Embedded Systems in the Vehicle Industry: Results and Lessons Learned
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
2019 (English)In: 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), IEEE , 2019, p. 1063-1065, article id 8754954Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses the results achieved in a technology-transfer project in the vehicle domain. The results extend the state-of-the art and practice in the area of model-driven development and execution of predictable vehicular embedded systems by developing new techniques, implementing them in the existing industrial tools and validating them using industrial use cases and prototype demonstrators. In this context, the paper also discusses some important lessons learned and open challenges.

Place, publisher, year, edition, pages
IEEE , 2019. p. 1063-1065, article id 8754954
Series
IEEE International Conference on Industrial Technology, ISSN 2643-2978
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-46347DOI: 10.1109/ICIT.2019.8754954ISI: 000490548300169Scopus ID: 2-s2.0-85069040485ISBN: 978-1-5386-6376-9 (print)OAI: oai:DiVA.org:mdh-46347DiVA, id: diva2:1377989
Conference
IEEE International Conference on Industrial Technology (IEEE ICIT), FEB 13-15, 2019, Melbourne, AUSTRALIA
Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2020-02-20Bibliographically approved

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Mubeen, Saad

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