Rule-based Business Process Abstraction Framework

Christina Tsagkani, Aphrodite Tsalgatidou


Business process models have become key artifacts to represent how work is performed in organisations. Therefore organisations maintain large process model repositories, containing complex models that are difficult to be managed. Abstraction is a means to reduce the size and complexity of such process models and ease the process model management. It is worthwhile noticing that several abstraction mechanisms exist in the literature but none of them includes activities-paths, data, roles, artifacts and messages in the abstraction procedure. To this end we present a conceptual framework that utilizes abstraction rules in order to simplify business process models. The proposed framework is well suited for complex BPMN process models and is built on our previous work where process abstraction rules had been introduced. This abstraction framework is designed with focus on retaining the overall structure of the process model, but most of all it is designed to treat different process elements (eg. data, messages, roles, etc.) other than activities as abstraction objects. A real business case that is originated from the financial services sector is used as an attempt to exemplify and validate the proposed mechanism.


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Paper Citation

in Harvard Style

Tsagkani C. and Tsalgatidou A. (2016). Rule-based Business Process Abstraction Framework . In Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-758-190-8, pages 173-178. DOI: 10.5220/0006223401730178

in Bibtex Style

author={Christina Tsagkani and Aphrodite Tsalgatidou},
title={Rule-based Business Process Abstraction Framework},
booktitle={Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},

in EndNote Style

JO - Proceedings of the Sixth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - Rule-based Business Process Abstraction Framework
SN - 978-989-758-190-8
AU - Tsagkani C.
AU - Tsalgatidou A.
PY - 2016
SP - 173
EP - 178
DO - 10.5220/0006223401730178