Shared binary decision diagram with attributed edges for efficient Boolean function manipulation
DAC '90 Proceedings of the 27th ACM/IEEE Design Automation Conference
SAP R/3 business blueprint: understanding the business process reference model
SAP R/3 business blueprint: understanding the business process reference model
ERP modeling: a comprehensive approach
Information Systems
Software Product Line Engineering: Foundations, Principles and Techniques
Software Product Line Engineering: Foundations, Principles and Techniques
YAWL: yet another workflow language
Information Systems
A configurable reference modelling language
Information Systems
Questionnaire-driven configuration of reference process models
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Configurable Process Models: Experiences from a Municipality Case Study
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Configurable multi-perspective business process models
Information Systems
Extending conceptual schemas with business process information
Advances in Software Engineering
Modeling and validation of business process families
Information Systems
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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 interrelationships. This questionnaire allows subject matter experts to configure the process model without requiring them to understand the process modeling notation. The approach guarantees that the resulting process models are correct according to certain constraints. To demonstrate the applicability of the proposal, we have implemented a questionnaire toolset that guides users through the configuration of reference process models captured in two different notations.