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Comparing Imperative and Declarative Process Models

URN zum Zitieren dieses Dokuments: urn:nbn:de:bvb:703-epub-3325-2

Titelangaben

Baumann, Michaela:
Comparing Imperative and Declarative Process Models.
Bayreuth , 2017 . - 12 S.

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Abstract

The field of process model similarity matching is well examined for imperative process models like BPMN models, Petri nets, or EPCs where a lot of different measuring techniques exist. For the recently upcoming declarative process models, generally providing more flexibility than imperative models, however, there is a lack of comparison methods. Along with their advantage of providing more flexibility, declarative process models have a disadvantage in comprehending the models, especially the models' behavior. To overcome this problem, a comparison of imperative and declarative models is reasonable to check whether the declarative model represents a desired behavior which is easier to express and validate in an imperative notation. The work at hand provides a method based on flow dependencies, abstracting from the modeling type, for comparing two process models. It uses not only information about control-flow, but also data-based dependencies between process activities.

Weitere Angaben

Publikationsform: Preprint, Postprint, Working paper, Diskussionspapier
Keywords: Process Model Comparison; Process Model Similarity; Behavioral Similarity; Behavioral Profile; Flow Dependency
Themengebiete aus DDC: 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-3325-2
Eingestellt am: 16 Jun 2017 09:43
Letzte Änderung: 16 Jun 2017 09:43
URI: https://epub.uni-bayreuth.de/id/eprint/3325

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