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Modeling and analyzing systems-of-systems in the multi-attribute prediction language (MAPL)
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 - SESoS '16, ACM Press, 2016Conference 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.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:ri:diva-28271DOI: 10.1145/2897829.2897830ISBN: 978-1-4503-4172-1 (print)OAI: oai:DiVA.org:ri-28271DiVA: diva2:1076272
Conference
4th International Workshop on Software Engineering for Systems-of-Systems, Austin, Texas, USA, May 14 - 22, 2016
Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2017-04-25Bibliographically approved

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Publisher's full texthttp://dx.doi.org/10.1145/2897829.2897830

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