Event-Based Business Process Editor and Simulator

Rajsiri, Vatcharaphun; Fleury, Nicholas; Crosmarie, Graham; Lorré, Jean-Pierre

doi:10.1007/978-3-642-20511-8_64

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…An encoding of CEP concepts and mechanisms to Maude is provided, and several analysis are presented, both covering the static properties of the CEP patterns and the statistical simulation of such systems. Garcí-a-López et al [40] have implemented the CEPA tool for the transformation of CEP programs to Abstract Syntax Trees (AST) capturing the pattern dependencies, with the goal to check and correct two particular [42] and the one presented here focus on studios via simulations. Rajsiri et al present a business process editor and simulator developed on the basis of an event-driven business process modeling approach using the BPMN 2.0 formalism.…”

Section: Related Workmentioning

confidence: 99%

Facilitating the Quantitative Analysis of Complex Events through a Computational Intelligence Model-Driven Tool

D́ıaz

Macià

Valero

et al. 2019

Scientific Programming

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Complex event processing (CEP) is a computational intelligence technology capable of analyzing big data streams for event pattern recognition in real time. In particular, this technology is vastly useful for analyzing multicriteria conditions in a pattern, which will trigger alerts (complex events) upon their fulfillment. However, one of the main challenges to be faced by CEP is how to define the quantitative analysis to be performed in response to the produced complex events. In this paper, we propose the use of the MEdit4CEP-CPN model-driven tool as a solution for conducting such quantitative analysis of events of interest for an application domain, without requiring knowledge of any scientific programming language for implementing the pattern conditions. Precisely, MEdit4CEP-CPN facilitates domain experts to graphically model event patterns, transform them into a Prioritized Colored Petri Net (PCPN) model, modify its initial marking depending on the application scenario, and make the quantitative analysis through the simulation and monitor capabilities provided by CPN tools.

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Section: Related Workmentioning

confidence: 99%

Facilitating the Quantitative Analysis of Complex Events through a Computational Intelligence Model-Driven Tool

D́ıaz

Macià

Valero

et al. 2019

Scientific Programming

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“…The basic necessity of profound methods for the technical specification of complex events in the BPMJ 20,4 context of business processes has motivated extensive research activities. In most cases these contributions propose an extension of the Business Process Modeling Notation (BPMN) for modeling goals, high-level events or even whole business situations (Charles and Hollunder, 2011;Decker et al, 2007;Estruch and Heredia Á lvaro, 2012;Koetter and Kochanowski, 2013;Kunz et al, 2010;Rajsiri et al, 2011;Schiefer and Seufert, 2010). One recently presented concept copes with the integration of dedicated event stream processing units within the BPMN representation of the overall business process (Appel et al, 2013).…”

Section: Synthesizing and Analyzing The Current State Of Researchmentioning

confidence: 99%

Event-Driven Business Process Management: where are we now?

Krumeich

Weis

Werth

et al. 2014

Business Process Mgmt Journal

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Purpose – The business operations of today's enterprises are heavily influenced by numerous of internal and external business events. With the Event Driven Architecture and particularly the Complex Event Processing (CEP), the technology required for identifying complex correlations in these large amounts of event data right after its appearance has already emerged. The resulting gain in operational transparency builds the foundation for (near) real-time reactions. This motivated extensive research activities especially in the field of Business Process Management (BPM), which essentially coined the term Event-Driven BPM (EDBPM). Now, several years after the advent of this new concept, the purpose of this paper is to shed light to the question: where are we now on our way towards a sophisticated adoption of the CEP technology within BPM? Design/methodology/approach – The research methodology of this paper is a structured literature analysis. It basically follows the procedure proposed by vom Brocke et al. (2009). This verified five-step process – entitled “Reconstructing the giant” – allowed a rigorous study. As a result, various research clusters were derived, whose state-of-the-art exposed existing research gaps within EDBPM. Findings – First of all, the paper provides a concise conceptual basis on different application possibilities of EDBPM. Afterwards, it synthesizes current research into six clusters and highlights most significant work within them. Finally, a research agenda is proposed to tackle existing research gaps to pave the way towards fully realizing the potentials of the paradigm. Originality/value – So far, a comparable study of the current state-of-the-art within EDBPM is non-existent. The findings of this paper, e.g. the proposed research agenda, help scholars to focus their research efforts on specific aspects that need to be considered in order to advance the adoption of the CEP technology within BPM.

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Event-Based Business Process Editor and Simulator

Cited by 2 publications

References 7 publications

Facilitating the Quantitative Analysis of Complex Events through a Computational Intelligence Model-Driven Tool

Facilitating the Quantitative Analysis of Complex Events through a Computational Intelligence Model-Driven Tool

Event-Driven Business Process Management: where are we now?

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