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Pruning Architectural Models of Automotive Embedded Systems via Dependency Analysis
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7663-5497
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2870-2680
2016 (English)In: 42nd Euromicro Conference series on Software Engineering and Advanced Applications SEAA 2016, 2016, 293-302 p.Conference paper (Refereed)
Place, publisher, year, edition, pages
2016. 293-302 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-33749DOI: 10.1109/SEAA.2016.47ISI: 000386649000043ISBN: 978-1-5090-2819-1 (print)OAI: oai:DiVA.org:mdh-33749DiVA: diva2:1048510
Conference
42nd Euromicro Conference series on Software Engineering and Advanced Applications SEAA 2016, 31 Aug 2016, Cyprus, Cyprus
Projects
PRESS - Predictable Embedded Software SystemsCAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living)
Available from: 2016-11-21 Created: 2016-11-21 Last updated: 2017-01-05Bibliographically approved

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Marinescu, RalucaMubeen, SaadSeceleanu, Cristina
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CiteExportLink to record
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