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Semi-automated business process model matching and merging considering advanced modeling constraints

 
: Beutel, Markus Christian; Borozanov, Vasil; Gökay, Sevket; Krempels, Karl-Heinz

:

Hammoudi, S. ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
19th International Conference on Enterprise Information Systems, ICEIS 2017. Proceedings. Vol.1 : Porto, Portugal, April 26-29, 2017
SciTePress, 2017
ISBN: 978-989-758-247-9
S.324-331
International Conference on Enterprise Information Systems (ICEIS) <19, 2017, Porto>
Englisch
Konferenzbeitrag
Fraunhofer FIT ()

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.

: http://publica.fraunhofer.de/dokumente/N-474258.html