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Automatic Optimisation of System Architectures using EAST-ADL
University of Hull.
Technical University of Berlin. (Software Engineering Group)
CEA List , Commissariat à l'Énergie Atomique Saclay.
University of Hull.
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2013 (English)In: Journal of Systems and Software, ISSN 0164-1212, Vol. 86, no 10, 2467-2487 p.Article in journal (Refereed) Published
Abstract [en]

There are many challenges which face designers of complex system architectures, particularly safety-critical or real-time systems. The introduction of architecture description languages (ADLs) has helped to meet these challenges by consolidating information about a system and providing a platform for modelling and analysis capabilities. However, managing this wealth of information can still be problematic, and evaluation of potential design decisions is still often performed manually. Automatic architectural optimisation can be used to assist this decision process, enabling designers to rapidly explore many different options and evaluate them according to specific criteria. In this paper, we present a multi-objective optimisation approach based on EAST-ADL, an ADL in the automotive domain, with the goal of combining the advantages of ADLs and architectural optimisation. The approach is designed to be extensible and leverages the capabilities of EAST-ADL to provide support for evaluation according to different factors, including dependability, timing/performance, and cost. The technique is applied to an illustrative example system featuring both hardware and software perspectives, demonstrating the potential benefits of this concept to the design of embedded system architectures.

Place, publisher, year, edition, pages
2013. Vol. 86, no 10, 2467-2487 p.
Keyword [en]
Multi-objective Optimisation, Architectural Description Languages, Dependability Analysis, Timing Analysis
National Category
Embedded Systems
URN: urn:nbn:se:kth:diva-120494DOI: 10.1016/j.jss.2013.04.001ISI: 000324564100002ScopusID: 2-s2.0-84882683983OAI: diva2:615496
EU, FP7, Seventh Framework Programme, 260057

QC 20131129

Available from: 2013-04-10 Created: 2013-04-10 Last updated: 2013-11-29Bibliographically approved

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