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Software and Systems Modeling
Erschienen in: Software and Systems Modeling 1/2017

06.03.2015 | Regular Paper

Integrating business process simulation and information system simulation for performance prediction

verfasst von: Robert Heinrich, Philipp Merkle, Jörg Henss, Barbara Paech

Erschienen in: Software and Systems Modeling | Ausgabe 1/2017

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Abstract

Business process (BP) designs and enterprise information system (IS) designs are often not well aligned. Missing alignment may result in performance problems at run-time, such as large process execution time or overloaded IS resources. The complex interrelations between BPs and ISs are not adequately understood and considered in development so far. Simulation is a promising approach to predict performance of both BP and IS designs. Based on prediction results, design alternatives can be compared and verified against requirements. Thus, BP and IS designs can be aligned to improve performance. In current simulation approaches, BP simulation and IS simulation are not adequately integrated. This results in limited prediction accuracy due to neglected interrelations between the BP and the IS in simulation. In this paper, we present the novel approach Integrated Business IT Impact Simulation (IntBIIS) to adequately reflect the mutual impact between BPs and ISs in simulation. Three types of mutual impact between BPs and ISs in terms of performance are specified. We discuss several solution alternatives to predict the impact of a BP on the performance of ISs and vice versa. It is argued that an integrated simulation of BPs and ISs is best suited to reflect their interrelations. We propose novel concepts for continuous modeling and integrated simulation. IntBIIS is implemented by extending the Palladio tool chain with BP simulation concepts. In a real-life case study with a BP and IS from practice, we validate the feasibility of IntBIIS and discuss the practicability of the corresponding tool support.
Vorheriger Artikel Eugenia: towards disciplined and automated development of GMF-based graphical model editors
Nächster Artikel An empirical approach toward the resolution of conflicts in goal-oriented models

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Metadaten
Titel
Integrating business process simulation and information system simulation for performance prediction
verfasst von
Robert Heinrich
Philipp Merkle
Jörg Henss
Barbara Paech
Publikationsdatum
06.03.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 1/2017
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-015-0457-1

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