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Issue title: Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2011
Guest editors: Narayan C. Debnath
Article type: Research Article
Authors: Debnath, Narayana; * | Lee, Ilhyunb | Salgado, C.c | Peralta, M.c | Riesco, D.c | Berón, M.c | Montejano, G.c | Baigorria, L.c
Affiliations: [a] Department of Computer Science, Winona State University, Winona, MN, USA | [b] Department of Mathematics and Computer Science, University of Texas of the Permian Basin, Odessa, TX, USA | [c] Departamento de Informática, Facultad de Ciencias Físico-Matemáticas y Naturales, Universidad Nacional de San Luis, San Luis, Argentina | Department of Computer Science, Winona State University, Winona, MN, USA
Correspondence: [*] Corresponding author: Narayan Debnath, Department of Computer Science, Winona State University, Winona, MN 55987, USA. E-mail: ndebnath@winona.edu.
Abstract: The business process modeling presents a global vision of an organization. This characteristic allows for a better understanding of: the dynamics of the company, and the relationships that are given inside it and with its environment. Therefore, it is the best technique to align the development with the organization's goals. In this context, the role of modeling languages in the Business Processes specification is fundamental. Choosing the most appropriate language for specifying the company processes is an important and critical decision. This is because the models help to improve its performance and evolution avoiding many risk factors. In this paper, an evaluation strategy of business process modeling languages based in LSP is proposed. The main goal is to provide companies with a framework for the selection of the best business process modeling languages.
Keywords: Business Processes, Business Process Management Systems, Business Process Models, Modeling Language, LSP
DOI: 10.3233/JCM-2012-0445
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 12, no. s1, pp. S147-S160, 2012
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