Modelling Business Process Variants using Graph Transformation Rules

Christine Natschläger, Christine Natschläger, Verena Geist, Verena Geist, Christa Illibauer, Christa Illibauer, Robert Hutter, Robert Hutter

Abstract

Business process variability is an active research area in the field of business process management and deals with variations and commonalities among processes of a given process family. Many theoretical approaches have been suggested in the last years; however, practical implementations are rare and limited in their functionality. In this paper, we propose a new approach for business process variability based on well-known graph transformation techniques and with focus on practical aspects like definition of variation points, linking and propagation of changes, as well as visual highlighting of differences in process variants. The suggested concepts are discussed within a case study comprising two graph transformation systems for generating process variants; one supports variability by restriction, the other supports variability by restriction and by extension. Both graph transformation systems are proven to be globally deterministic, but differ regarding their complexity. The overall approach is being implemented in the BPM suite of our partner company.

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Paper Citation


in Harvard Style

Natschläger C., Geist V., Illibauer C. and Hutter R. (2016). Modelling Business Process Variants using Graph Transformation Rules . In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-168-7, pages 65-74. DOI: 10.5220/0005665800650074


in Bibtex Style

@conference{modelsward16,
author={Christine Natschläger and Verena Geist and Christa Illibauer and Robert Hutter},
title={Modelling Business Process Variants using Graph Transformation Rules},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2016},
pages={65-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005665800650074},
isbn={978-989-758-168-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Modelling Business Process Variants using Graph Transformation Rules
SN - 978-989-758-168-7
AU - Natschläger C.
AU - Geist V.
AU - Illibauer C.
AU - Hutter R.
PY - 2016
SP - 65
EP - 74
DO - 10.5220/0005665800650074