A Context-Based Approach for Real-Time Adaptation Need Detection

Jamila Oukharijane, Imen Ben Said, Mohamed Chaâbane, Eric Andonoff, Rafik Bouaziz

2023

Abstract

The increasingly dynamic and changing environment in which business processes are evolving requires companies to adapt them frequently. Thus, we propose in this paper a new context-based approach recommending to analyze well the environmental changes. This approach recommends to structure knowledge required for process adaptation need in accordance with our BPMN4V-Context meta-model, which supports the modeling of the operating environment, using the context along with the versions of the model of each BPMN process and their use conditions. It also advocates (i) a filtering activity to retain only significant context changes in the monitored data, as low-level context parameters, (ii) a reasoning activity to deduce high-level context parameters from filtered low-level ones, enhancing the current situation of running processes and (iii) examining the current situation before its analysis in order to resolve problems related to the used units and synonym values. Finally, the feasibility and applicability of this approach is demonstrated by a case study from the crisis domain and two performance tests.

Paper Citation

in Harvard Style

Oukharijane J., Ben Said I., Chaâbane M., Andonoff E. and Bouaziz R. (2023). A Context-Based Approach for Real-Time Adaptation Need Detection. In Proceedings of the 20th International Conference on Smart Business Technologies - Volume 1: ICSBT; ISBN 978-989-758-667-5, SciTePress, pages 114-125. DOI: 10.5220/0012148500003552

in Bibtex Style

@conference{icsbt23,
author={Jamila Oukharijane and Imen Ben Said and Mohamed Chaâbane and Eric Andonoff and Rafik Bouaziz},
title={A Context-Based Approach for Real-Time Adaptation Need Detection},
booktitle={Proceedings of the 20th International Conference on Smart Business Technologies - Volume 1: ICSBT},
year={2023},
pages={114-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012148500003552},
isbn={978-989-758-667-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Smart Business Technologies - Volume 1: ICSBT
TI - A Context-Based Approach for Real-Time Adaptation Need Detection
SN - 978-989-758-667-5
AU - Oukharijane J.
AU - Ben Said I.
AU - Chaâbane M.
AU - Andonoff E.
AU - Bouaziz R.
PY - 2023
SP - 114
EP - 125
DO - 10.5220/0012148500003552
PB - SciTePress