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Automatic Probabilistic Enterprise IT Architecture Modeling: a Dynamic Bayesian Networks Approach
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Software Systems Architecture and Security Group, Sweden)ORCID iD: 0000-0002-3293-1681
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Software Systems Architecture and Security Group, Sweden)ORCID iD: 0000-0003-3922-9606
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Software Systems Architecture and Security Group, Sweden)ORCID iD: 0000-0003-3089-3885
2016 (English)In: 2016 IEEE 20TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING WORKSHOP (EDOCW), IEEE, 2016, 122-129 p.Conference paper (Refereed)
Abstract [en]

Enterprise architecture modeling and model maintenance are time-consuming and error-prone activities that are typically performed manually. This position paper presents new and innovative ideas on how to automate the modeling of enterprise architectures. We propose to view the problem of modeling as a probabilistic state estimation problem, which is addressed using Dynamic Bayesian Networks (DBN). The proposed approach is described using a motivating example. Sources of machine-readable data about Enterprise Architecture entities are reviewed.

Place, publisher, year, edition, pages
IEEE, 2016. 122-129 p.
Series
IEEE International Enterprise Distributed Object Computing Conference Workshops, ISSN 2325-6583
Keyword [en]
Enterprise Architecture, Automatic Modeling, Dynamic Bayesian Networks
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-197027DOI: 10.1109/EDOCW.2016.7584351ISI: 000386577000010ScopusID: 2-s2.0-84992603280ISBN: 978-1-4673-9933-3OAI: oai:DiVA.org:kth-197027DiVA: diva2:1053116
Conference
IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), SEP 05-09, 2016, Vienna, AUSTRIA
Note

QC 20161208

Available from: 2016-12-08 Created: 2016-11-28 Last updated: 2016-12-08Bibliographically approved

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Johnson, PontusEkstedt, MathiasLagerström, Robert
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