Authors:
David Aveiro
1
;
2
;
3
;
Vítor Freitas
1
;
3
;
Dulce Pacheco
1
;
2
;
4
and
Duarte Pinto
1
Affiliations:
1
ARDITI - Regional Agency for the Development of Research, Technology and Innovation, 9020-105 Funchal, Portugal
;
2
NOVA-LINCS, Universidade NOVA de Lisboa, Campus da Caparica, 2829-516 Caparica, Portugal
;
3
Faculty of Exact Sciences and Engineering, University of Madeira, Caminho da Penteada 9020-105 Funchal, Portugal
;
4
School of Technology and Management, University of Madeira, Caminho da Penteada 9020-105 Funchal, Portugal
Keyword(s):
Enterprise Models, Workflow, Business Process Modelling, DEMO.
Abstract:
Demo’s (Design and Engineering Methodology for Organizations) Way of Modelling encompasses a collection of interconnected models and diagrams designed to depict an organization’s structure and operations in a cohesive and platform-independent manner. Nevertheless, there has been a contention that the syntax and semantics of DEMO models are overly intricate and cluttered, posing challenges for laypeople in terms of interpretation. Our research team has been working on improvements to the DEMO Modelling language for Enterprise Ontology. Previous work had shown challenges in using standard DEMO notations for model communication and validation, prompting the development of new representations. This study evaluates these representations through quality and functionality testing using a health domain case and health professionals with domain knowledge. The results of the conducted tests reveal significant differences in perceived quality and functionality between the new and traditional DE
MO representations. These findings indicate a strong preference for the new representations over traditional ones. This study underscores the importance of focusing on users in enhancing the effectiveness of modelling languages like DEMO, particularly in complex domains such as healthcare. The results suggest that these new representations have the potential to improve the perceived quality and functionality of DEMO models in various practical applications, including health-related information systems.
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