loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Lisa Arnold ; Marius Breitmayer and Manfred Reichert

Affiliation: Institute of Databases and Information Systems, Ulm University, James-Franck-Ring, 89081 Ulm, Germany

Keyword(s): Object-centric Business Process, Business Process Monitoring, Business Object, Process Progress.

Abstract: A fundamental task of any business process monitoring component is to continuously determine the progress of the running processes of an enterprise. This is particularly challenging when facing dynamic processes undergoing changes during run-time, which most likely affect the progress of the respective processes as well. This paper considers object-centric business processes, which consist of business objects and their relations. During run-time, these business objects may be instantiated multiple times to form object instances. The run-time behaviour of these object instances is manifested in terms of object lifecycles that interact with each other. For monitoring a single business object five alternative methods are introduced, which allow determining the progress based on average calculations, information about the semantic object relations (hierarchical order, minimal and maximal cardinality), or event logs (if available). For all methods, the precalculated progress of individual object instances is leveraged. To evaluate the different methods, an empirical study with 65 participants was conducted. As key observation, the majority of the participants that are experienced with process modelling and monitoring tools, prefer deriving the progress of a business object from event logs. The results of this paper are fundamental for determining the progress of a holistic object-centric business process. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.145.67

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Arnold, L.; Breitmayer, M. and Reichert, M. (2024). Determining the Progress of a Business Object Based on its Object Instances: An Empirical Study. In Proceedings of the 19th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-706-1; ISSN 2184-2833, SciTePress, pages 315-322. DOI: 10.5220/0012713200003753

@conference{icsoft24,
author={Lisa Arnold. and Marius Breitmayer. and Manfred Reichert.},
title={Determining the Progress of a Business Object Based on its Object Instances: An Empirical Study},
booktitle={Proceedings of the 19th International Conference on Software Technologies - ICSOFT},
year={2024},
pages={315-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012713200003753},
isbn={978-989-758-706-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - ICSOFT
TI - Determining the Progress of a Business Object Based on its Object Instances: An Empirical Study
SN - 978-989-758-706-1
IS - 2184-2833
AU - Arnold, L.
AU - Breitmayer, M.
AU - Reichert, M.
PY - 2024
SP - 315
EP - 322
DO - 10.5220/0012713200003753
PB - SciTePress