Merging business process models

81Citations
Citations of this article
99Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper addresses the following problem: given two business process models, create a process model that is the union of the process models given as input. In other words, the behavior of the produced process model should encompass that of the input models. The paper describes an algorithm that produces a single configurable process model from a pair of process models. The algorithm works by extracting the common parts of the input process models, creating a single copy of them, and appending the differences as branches of configurable connectors. This way, the merged process model is kept as small as possible, while still capturing all the behavior of the input models. Moreover, analysts are able to trace back which model(s) a given element in the merged model originates from. The algorithm has been prototyped and tested against process models taken from several application domains. © Springer-Verlag 2010.

Cite

CITATION STYLE

APA

La Rosa, M., Dumas, M., Uba, R., & Dijkman, R. (2010). Merging business process models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6426 LNCS, pp. 96–113). https://doi.org/10.1007/978-3-642-16934-2_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free