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Simulation of Multi-Perspective Declarative Process Models

URN to cite this document: urn:nbn:de:bvb:703-epub-2881-3

Title data

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.

Further data

Item Type: Preprint, postprint
Keywords: process model translation; simulation; process mining
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 004 Computer science
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-2881-3
Date Deposited: 27 May 2016 05:57
Last Modified: 27 May 2016 05:57
URI: https://epub.uni-bayreuth.de/id/eprint/2881

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