Article
Application of fuzzy logic to assess the quality of BPMN models
Communications in Computer and Information Science
Document Type
Conference Proceeding
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
10.1007/978-3-319-93641-3_9
ISBN
9783319936406
Publisher
Springer Verlag
Disciplines
Keywords
- BPMN,
- Business process,
- Fuzzy logic,
- Model quality,
- Quality metrics
Scopus ID
85048601139
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-319-93641-3_9
Citation Information
Fadwa Yahya, Khouloud Boukadi, Hanêne Ben-Abdallah and Zakaria Maamar. "Application of fuzzy logic to assess the quality of BPMN models" Communications in Computer and Information Science Vol. 868 (2018) p. 188 - 209 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/1865-0929" target="_blank">1865-0929</a> Available at: http://works.bepress.com/zakaria-maamar/85/