Application of fuzzy logic to assess the quality of BPMN models
Document Type
Conference Proceeding
Source of Publication
Communications in Computer and Information Science
Publication Date
1-1-2018
Abstract
© Springer International Publishing AG, part of Springer Nature 2018. Modeling is the first stage in a Business Process’s (BP) lifecycle. A high-quality BP model is vital to the successful implementation, execution, and monitoring stages. Different works have evaluated BP models from a quality perspective. These works either used formal verification or a set of quality metrics. This paper adopts quality metric and targets models represented in Business Process Modeling and Notation (BPMN). It proposes an approach based on fuzzy logic along with a tool system developed under eclipse framework. The preliminary experimental evaluation of the proposed system shows encouraging results.
DOI Link
ISBN
9783319936406
ISSN
Publisher
Springer Verlag
Volume
868
First Page
188
Last Page
209
Disciplines
Business | Computer Sciences
Keywords
BPMN, Business process, Fuzzy logic, Model quality, Quality metrics
Scopus ID
Recommended Citation
Yahya, Fadwa; Boukadi, Khouloud; Ben-Abdallah, Hanêne; and Maamar, Zakaria, "Application of fuzzy logic to assess the quality of BPMN models" (2018). All Works. 519.
https://zuscholars.zu.ac.ae/works/519
Indexed in Scopus
yes
Open Access
no
