Title: An approach based on process mining for generalisation assessment of BPMN models

Authors: Amal Elbehi; Fouzia Kahloun; Sonia Ayachi Ghannouchi

Addresses: Laboratory RIADI, University of Sousse, ENSI, Mannouba, Sousse, Tunisia ' Laboratory RIADI, Higher Institute of Applied Sciences and Technology of Gabes (ISSATG), University of Gabes, ENSI, Mannouba, Sousse, Tunisia ' Laboratory RIADI, High Institute on Management of Sousse, University of Sousse, ENSI, Mannouba, Sousse, Tunisia

Abstract: Business process models include several elements such as tasks, events and actors about the modelled processes. A high degree of details in such models complicates their understanding. Moreover, this causes tremendous analysis tasks. This paper presents an approach to generalise process models. Given a detailed model, we use abstraction rules and conformance checking measures to generalise BPMN process models in order to bring the model to a higher generalisation level. This proposed approach of generalisation starts by considering the global process model and then uses the frequency of activities in the model in order to support model comprehension as well as identifying significant tasks in the considered process model. This approach is mainly dedicated to BPMN process models and relies on process mining. It has been applied in this case study: the tracking of master's degree theses process. It was proved that the generalisation level of the obtained model has been improved. Moreover, a prototype named Tool for Generalisation Assessment (T4GenA) supporting this approach has been implemented.

Keywords: generalisation; process mining; abstraction; conformance checking; BPMN.

DOI: 10.1504/IJBPIM.2024.140153

International Journal of Business Process Integration and Management, 2024 Vol.11 No.3, pp.248 - 257

Received: 25 Feb 2024
Accepted: 16 Apr 2024
Published online: 25 Jul 2024 *

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