Metrics of Parallel Complexity of Operational Business Processes

Andrea Chiorrini; Claudia Diamantini; Alex Mircoli; Domenico Potena

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Paper

Metrics of Parallel Complexity of Operational Business Processes

Topics: Business Modeling and Business Process Management; Measurements, Metrics and Evaluation of EA Artefacts and Processes

In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 561-566, 2022

Authors: Andrea Chiorrini ; Claudia Diamantini ; Alex Mircoli and Domenico Potena

Affiliation: Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy

Keyword(s): Business Modelling, Business Process Management, Metrics and Evaluation of Processes, Degree of Parallelism, Instance Graphs.

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.

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Paper citation in several formats:

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 2: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 561-566. DOI: 10.5220/0011084200003179

@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 2: ICEIS},
year={2022},
pages={561-566},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011084200003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Metrics of Parallel Complexity of Operational Business Processes
SN - 978-989-758-569-2
IS - 2184-4992
AU - Chiorrini, A.
AU - Diamantini, C.
AU - Mircoli, A.
AU - Potena, D.
PY - 2022
SP - 561
EP - 566
DO - 10.5220/0011084200003179
PB - SciTePress