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Simulation of Multi-Perspective Declarative Process Models

URN zum Zitieren der Version auf EPub Bayreuth: urn:nbn:de:bvb:703-epub-2881-3

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Ackermann, Lars ; Schönig, Stefan ; Jablonski, Stefan:
Simulation of Multi-Perspective Declarative Process Models.
Bayreuth , 2016 . - 12 S.

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Abstract

Imperative languages like BPMN are eminently suitable for representing routine processes and are likewise cumbersome in case of flexible processes. The latter are easier to describe using declarative process modeling languages (DPMLs). However, understandability and tool support of DPMLs are comparatively poor. Additionally, there may be an affinity to a particular language caused by company guidelines or individual preferences. Hence, a technique for automatically translating process models between different languages is required. Process models usually describe several aspects of a process, such as activity orderings and role assignments. Therefore, our approach focuses on translating resourceaware process models. We utilize well-established techniques for process simulation and mining to avoid the definition of cumbersome model transformation rules. Since there is currently no simulation approach for resource-aware declarative process models we additionally describe a solution based on a well-known and expressive logic. The whole translation approach is discussed and evaluated at the example of BPMN and DPIL.

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Publikationsform: Preprint, Postprint
Keywords: process model translation; simulation; process mining
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke
000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Sprache: Englisch
Titel an der UBT entstanden: Ja
URN: urn:nbn:de:bvb:703-epub-2881-3
Eingestellt am: 27 Mai 2016 05:57
Letzte Änderung: 27 Mai 2016 05:57
URI: https://epub.uni-bayreuth.de/id/eprint/2881

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