A strategy based on LSP for the evaluation of specific languages for business processes modeling.

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Title: A strategy based on LSP for the evaluation of specific languages for business processes modeling.
Authors: Debnath, Narayan1 ndebnath@winona.edu, Lee, Ilhyun2, Salgado, C.2, Peralta, M.3, Riescoc, D.3, Berónc, M.3, Montejano, G.3, Baigorria, L.3
Source: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.). 2012 Supplement 1, Vol. 12, pS147-S160. 14p. 4 Diagrams, 4 Charts.
Subjects: Linguistic String Parser (Computer grammar), Programming languages, Performance evaluation, Modeling languages (Computer science), Decision theory, Business models
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3233/JCM-2012-0445
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      – SubjectFull: Programming languages
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      – SubjectFull: Performance evaluation
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      – SubjectFull: Modeling languages (Computer science)
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      – SubjectFull: Decision theory
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      – SubjectFull: Business models
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              Text: 2012 Supplement 1
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