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Authors: Markus C. Beutel 1 ; Vasil Borozanov 2 ; Sevket Gökay 1 and Karl-Heinz Krempels 1

Affiliations: 1 RWTH Aachen University and Fraunhofer FIT, Germany ; 2 RWTH Aachen University, Germany

ISBN: 978-989-758-247-9

Keyword(s): Business Process Modeling, Model Merging, BPMN 2.0, Constraints.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Organisational Issues on Systems Integration

Abstract: Model merging helps to manage the combination and coevolution of business processes. Combining models (semi-)automatically can be a helpful technique in manifold areas and has been investigated since decades by the scientific community. The rising complexity of (business-) processes in shifting environments demands for a more differentiated view on model matching and merging techniques. In this domain, we identified the problem of considering additional constraints in the matching and merging process and suggest an approach by adapting state of the art solutions correspondingly. In addition, we state necessary reduction rules and discuss their suitability. Moreover we provide a prototypical implementation of a matching and merging tool, which allows further investigations of the approach concerning quality, usefulness and efficiency.

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Paper citation in several formats:
Beutel, M.; Borozanov, V.; Gökay, S. and Krempels, K. (2017). Semi-automated Business Process Model Matching and Merging Considering Advanced Modeling Constraints.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 324-331. DOI: 10.5220/0006341603240331

@conference{iceis17,
author={Markus C. Beutel. and Vasil Borozanov. and Sevket Gökay. and Karl{-}Heinz Krempels.},
title={Semi-automated Business Process Model Matching and Merging Considering Advanced Modeling Constraints},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={324-331},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006341603240331},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Semi-automated Business Process Model Matching and Merging Considering Advanced Modeling Constraints
SN - 978-989-758-247-9
AU - Beutel, M.
AU - Borozanov, V.
AU - Gökay, S.
AU - Krempels, K.
PY - 2017
SP - 324
EP - 331
DO - 10.5220/0006341603240331

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