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Linking Domain Models and Process Models for Reference Model Configuration

La Rosa, Marcello and Gottschalk, Florian and Dumas, Marlon and van der Aalst, Wil M.P. (2007) Linking Domain Models and Process Models for Reference Model Configuration. In ter Hofstede, Arthur H.M. and Benatallah, Boualem, Eds. Proceedings 10th International Workshop on Reference Modeling LNCS 4928, pages pp. 417-430, Brisbane, Australia.

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Abstract

Reference process models capture common practices in a given domain and variations thereof. Such models are intended to be configured in a specific setting, leading to individualized process models. Although the advantages of reference process models are widely accepted, their configuration still requires a high degree of modeling expertise. Thus users not only need to be domain experts, but also need to master the notation in which the reference process model is captured. In this paper we propose a framework for reference process modeling wherein the domain variability is represented separately from the actual process model. Domain variability is captured as a questionnaire that reflects the decisions that need to be made during configuration and their inter-relationships. This questionnaire allows subject matter experts to configure the process model without requiring them to understand the process modeling nota-tion. The approach guarantees that the resulting process models are correct ac-cording to certain constraints. To demonstrate the applicability of the proposal, we have implemented a questionnaire toolset that guides users through the con-figuration of reference process models captured in two different notations.

Item Type:Conference Paper
Status:Published
Keywords:reference model, process configuration, variability modeling
Subjects:280000 Information, Computing and Communication Sciences > 280100 Information Systems > 280109 Decision Support and Group Support Systems
280000 Information, Computing and Communication Sciences > 280100 Information Systems
280000 Information, Computing and Communication Sciences
ID Code:12445
Deposited By:La Rosa, Marcello
Deposited On:13 February 2008
Alternative Locations:http://dx.doi.org/10.1007/978-3-540-78238-4_43
Copyright Owner:Copyright 2007 Springer
Copyright Statement:This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science