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Modeling and analyzing systems-of-systems in the multi-attribute prediction language (MAPL)
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.ORCID iD: 0000-0003-2017-7914
2016 (English)In: Proceedings of the 4th International Workshop on Software Engineering for Systems-of-Systems, ACM Press, 2016, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

The Multi-Attribute Prediction Language (MAPL), an analysis metamodel for non-functional qualities of systems-of-systems, is introduced. MAPL features analysis in five non-functional areas: service cost, service availability, data accuracy, application coupling, and application size. In addition, MAPL explicitly includes utility modeling to make trade-offs between the qualities. The paper introduces how each of the five non-functional qualities is modeled and quantitatively analyzed based on the ArchiMate standard for enterprise architecture modeling and the previously published Predictive, Probabilistic Architecture Modeling Framework, building on the well-known UML and OCL formalisms. The main contribution of MAPL lies in combining all five non-functional analyses into a single unified framework.

Place, publisher, year, edition, pages
ACM Press, 2016. p. 1-7
Keywords [en]
systems-of-systems architecture, architecture analysis, architecture modeling
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-28271DOI: 10.1145/2897829.2897830ISBN: 978-1-4503-4172-1 (print)OAI: oai:DiVA.org:ri-28271DiVA, id: diva2:1076272
Conference
4th International Workshop on Software Engineering for Systems-of-Systems (SESoS 2016), May 14-22, 2016, Austin, US
Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2019-06-25Bibliographically approved

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Franke, Ulrik

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