Metrics of Parallel Complexity of Operational Business Processes

Andrea Chiorrini, Claudia Diamantini, Alex Mircoli, Domenico Potena

2022

Abstract

This paper addresses the problem of quantifying the parallelism in a business process. Having a synthetic metric to quantify the parallelism of a process may provide an assessment of the complexity of the process and guide certain design choice. In the present paper we discuss the advantages and disadvantages of two metrics presented in the literature, as well of two novel metrics that leverage on the notion of Instance Graph. Analysis is performed by means of use cases that are representative of operational business processes. The proposed metrics show to provide a sensible way to evaluate the overall parallel complexity of a process model.

Paper Citation

in Harvard Style

Chiorrini A., Diamantini C., Mircoli A. and Potena D. (2022). Metrics of Parallel Complexity of Operational Business Processes. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-569-2, pages 561-566. DOI: 10.5220/0011084200003179

in Bibtex Style

@conference{iceis22,
author={Andrea Chiorrini and Claudia Diamantini and Alex Mircoli and Domenico Potena},
title={Metrics of Parallel Complexity of Operational Business Processes},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2022},
pages={561-566},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084200003179},
isbn={978-989-758-569-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Metrics of Parallel Complexity of Operational Business Processes
SN - 978-989-758-569-2
AU - Chiorrini A.
AU - Diamantini C.
AU - Mircoli A.
AU - Potena D.
PY - 2022
SP - 561
EP - 566
DO - 10.5220/0011084200003179