A configurable reference modelling language
Information Systems
Flexibility in Process-Aware Information Systems (ProFlex) Workshop Report
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Merging Event-Driven Process Chains
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Configurable Process Models: Experiences from a Municipality Case Study
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Preserving correctness during business process model configuration
Formal Aspects of Computing
Detection of Semantically Equivalent Fragments for Business Process Model Change Management
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Correctness ensuring process configuration: an approach based on partner synthesis
BPM'10 Proceedings of the 8th international conference on Business process management
Merging business process models
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Improving business process models with reference models in business-driven development
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
Business process reference models: survey and classification
BPM'05 Proceedings of the Third international conference on Business Process Management
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Configurable process models are constructed via the aggregation of several process models. Manual creation of configurable process models is tedious, time consuming and error prone task. We propose in this paper an automation support for creating these models. The contribution of this paper is a merging algorithm for integrating a set of process variants into a single configurable process model. This integrated process model should (i) subsume the behaviours of all original models, (ii) ensure a trace back of the origin of each element and (iii) derive any of the input models by means of configuration and individualization. Existing solutions either fail in respecting all these requirements or allow for merging only pairs of process models. However, our algorithm allows for merging a set of process models at once. This algorithm has been implemented and tested over a set of different process variants.