Decision Model and Notation for Describing Variability in Business Process Product Lines

Andreas Speck, Aljoscha Jagenow, Melanie Windrich

2021

Abstract

Product line techniques have proven being a successful concept of software reuse. Hence, product line techniques have been applied for business process models. Although there are well established models for describing business processes such as BPMN or ARIS there is a lack of describing the variability in business processes. In the paper, we propose to apply Decision Model and Notation (DMN) for modeling process variability. DMN has the advantage that it is a known concept and well understood. DMN supports the decision techniques by defining the variability in business processes and with the rules defining the variability.

Paper Citation

in Harvard Style

Speck A., Jagenow A. and Windrich M. (2021). Decision Model and Notation for Describing Variability in Business Process Product Lines. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-508-1, pages 445-452. DOI: 10.5220/0010497204450452

in Bibtex Style

@conference{enase21,
author={Andreas Speck and Aljoscha Jagenow and Melanie Windrich},
title={Decision Model and Notation for Describing Variability in Business Process Product Lines},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2021},
pages={445-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010497204450452},
isbn={978-989-758-508-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Decision Model and Notation for Describing Variability in Business Process Product Lines
SN - 978-989-758-508-1
AU - Speck A.
AU - Jagenow A.
AU - Windrich M.
PY - 2021
SP - 445
EP - 452
DO - 10.5220/0010497204450452