Article in Proceedings INPROC-2016-23

BibliographySkouradaki, Marigianna; Andrikopoulos, Vasilis; Leymann, Frank: Representative BPMN 2.0 Process Models Generation from Recurring Structures.
In: Proceedings of the 23rd IEEE International Conference on Web Services, (ICWS 2016).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 468-475, english.
IEEE, June 27, 2016.
Article in Proceedings (Conference Paper).
CR-SchemaD.2.9 (Software Engineering Management)
I.2.8 (Problem Solving, Control Methods, and Search)
F.2.2 (Nonnumerical Algorithms and Problems)
KeywordsBPMN 2.0; Business Process Management; collection; composition; generation; process model; representative

Representative process models that satisfy specific structural criteria are requested in many different use cases. However, as process models constitute a corporate asset for the companies, they are not easily shared. More particularly, when the requestor desires a process models that satisfy specific structural characteristics, the task of gaining the process models becomes even harder. This work focuses on generating synthetic, representative, executable BPMN 2.0 process models with respect to specific user-defined structural criteria. For the generation of the BPMN 2.0 process models we are using re-curing sub-structures. The discovery of the sub structures has been introduced in previous work.The generated process models will then be utilized for benchmarking purposes. The original scientific contributions of this work are to provide: a) a method for automatically generating executable representative synthetic process models for a given set of structural criteria, b) the proof-of-concept of the proposed method through prototypical implementation and c) qualitative and quantitative evaluation of the proposed approach.

Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Entry dateJuly 19, 2016
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