Modeling Complex Event Patterns in EPC-Models and Transforming them into an Executable Event Pattern Language

Julian Krumeich, Manuel Zapp, Dirk Mayer, Dirk Werth, Peter Loos

In: Dirk Stelzer, Volker Nissen, Steffen Straßburger (editor). Tagungsband zur Multikonferenz Wirtschaftsinformatik (MKWI 2016). Multikonferenz Wirtschaftsinformatik (MKWI-2016) March 9-11 Ilmenau Germany Pages 81-92 Universitätsverlag Ilmenau Ilmenau 2016.


This paper proposes an approach to model complex event patterns in Event-driven Process Chain (EPC) models and to transform them into an executable Event Pattern Language (EPL). To do this, the paper first of all derives and examines characteristic event patterns considered in corresponding literature. Afterwards, the feasibility to model them using the standard EPC metamodel is evaluated and an extended EPC metamodel is proposed that allows for a comprehensive depiction of the derived patterns. Based on this foundation, the paper conceives a modeling technique and corresponding notation using the ARIS method and integrates it into the ARIS Business Process Analysis Platform for tooling support. Moreover, the paper proposes an approach that automatically transforms these models into executable EPL using Abstract Syntax Trees as an intermediate representation. Finally, the paper illustrates the modelling, extraction and transformation steps based on a running example originating from the ongoing research project (blinded) within continuous casting in the steel manufacturing industry.


German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz