Application of fuzzy logic to assess the quality of BPMN models

Author First name, Last name, Institution

Fadwa Yahya, University of Sfax
Khouloud Boukadi, University of Sfax
Hanêne Ben-Abdallah, King Abdulaziz University
Zakaria Maamar, Zayed University

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

10.1007/978-3-319-93641-3_9

ISBN

9783319936406

ISSN

1865-0929

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

85048601139

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