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Analysis of Enterprise Architecture Evolution Using Markov Decision Processes
RISE, Swedish ICT, SICS, Software and Systems Engineering Laboratory.ORCID iD: 0000-0003-2017-7914
2016 (English)In: Enterprise and Organizational Modeling and Simulation / [ed] Robert Pergl, Martin Molhanec, Eduard Babkin, Samuel Fosso Wamba, 2016, Vol. 272, 37-51 p.Conference paper (Refereed)
Abstract [en]

Enterprise architecture (EA) offers steering instruments to aid architects in their decision-making process. However, the management of such a process is a challenging task for enterprise architects, due to the complex dependencies amongst EA models when evolving from an initial to a subsequent state. In this paper, we design, present and analyze an approach supporting EA model evolution. In doing so, we define EA artifacts dependencies and model their corresponding evolutions during change. Then, this model is processed using a feedback control schema to fully inform the EA design decisions. An access control model for an inventory case study is introduced to reason on issues connected to this evolution. The results obtained by a stochastic solution (Markov Decision Processes) are used to argue about the usefulness and applicability of our proposal.

Place, publisher, year, edition, pages
2016. Vol. 272, 37-51 p.
Series
Lecture Notes in Business Information Processing (LNBIP)
National Category
Computer Science
Identifiers
URN: urn:nbn:se:ri:diva-28273DOI: 10.1007/978-3-319-49454-8_3ISBN: 978-3-319-49454-8 (electronic)OAI: oai:DiVA.org:ri-28273DiVA: diva2:1076298
Conference
Enterprise and Organizational Modeling and Simulation, 12th International Workshop, EOMAS 2016, June 13, 2016, Ljubljana, Slovenia
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/10.1007/978-3-319-49454-8_3

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