Automatic Probabilistic Enterprise IT Architecture Modeling: a Dynamic Bayesian Networks Approach
2016 (English)In: 2016 IEEE 20TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING WORKSHOP (EDOCW), IEEE, 2016, 122-129 p.Conference paper (Refereed)
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.
IEEE International Enterprise Distributed Object Computing Conference Workshops, ISSN 2325-6583
Enterprise Architecture, Automatic Modeling, Dynamic Bayesian Networks
IdentifiersURN: 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
IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), SEP 05-09, 2016, Vienna, AUSTRIA
QC 201612082016-12-082016-11-282016-12-08Bibliographically approved