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Authors: Erik Heiland ; Peter Hillmann and Andreas Karcher

Affiliation: Universität der Bundeswehr München, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany

Keyword(s): Enterprise Architecture, Model Transformation, Meta-model Mapping, ArchiMate, BPMN.

Abstract: With increasing linkage within value chains, the IT systems of different companies are also being connected with each other. This enables the integration of services within the movement of Industry 4.0 in order to improve the quality and performance of the processes. Enterprise architecture models form the basis for this with a better buisness IT-alignment. However, the heterogeneity of the modeling frameworks and description languages makes a concatenation considerably difficult, especially differences in syntax, semantic and relations. Therefore, this paper presents a transformation engine to convert enterprise architecture models between several languages. We developed the first generic translation approach that is free of specific meta-modeling, which is flexible adaptable to arbitrary modeling languages. The transformation process is defined by various pattern matching techniques using a rule-based description language. It uses set theory and first-order logic for an intuitive d escription as a basis. The concept is practical evaluated using an example in the area of a large German IT-service provider. Anyhow, the approach is applicable between a wide range of enterprise architecture frameworks. (More)

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Paper citation in several formats:
Heiland, E.; Hillmann, P. and Karcher, A. (2021). Enterprise Architecture Model Transformation Engine. In Proceedings of the 10th International Conference on Operations Research and Enterprise Systems - ICORES, ISBN 978-989-758-485-5; ISSN 2184-4372, pages 137-144. DOI: 10.5220/0010191001370144

@conference{icores21,
author={Erik Heiland. and Peter Hillmann. and Andreas Karcher.},
title={Enterprise Architecture Model Transformation Engine},
booktitle={Proceedings of the 10th International Conference on Operations Research and Enterprise Systems - ICORES,},
year={2021},
pages={137-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010191001370144},
isbn={978-989-758-485-5},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Operations Research and Enterprise Systems - ICORES,
TI - Enterprise Architecture Model Transformation Engine
SN - 978-989-758-485-5
IS - 2184-4372
AU - Heiland, E.
AU - Hillmann, P.
AU - Karcher, A.
PY - 2021
SP - 137
EP - 144
DO - 10.5220/0010191001370144

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