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Extraction and Reconstruction of Enterprise Models

  • Conference paper
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Enterprise and Organizational Modeling and Simulation (EOMAS 2014)

Abstract

Enterprise Models for analysis, and especially for automated analysis, should have five characteristics: they have to be accurate representations of the reality; they have to be well structured; they have to be complete with respect to their intended usage; they have to be kept up-to-date; and the cost of their construction and maintenance has to be as low as possible. In this paper we present an approach for the semi-automatic construction of enterprise models which gathers and weaves information from multiple sources such as information systems, databases, files (system’s logs, source code, configuration), and previously existing models. This approach is based on modeling and metamodeling techniques, and has been implemented in a tool called EM-AutoBuilder.

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Notes

  1. 1.

    We call the company fictitious because it does not really exist or offer any service. However, it is realistic because it was modeled after real companies that provide similar services, and because its information systems are completely build and operational. We use this, and other similar scenarios, to support research and initial prototypes, and also for educational purposes in the courses we teach.

  2. 2.

    EMF - Eclipse Modeling Framework: http://www.eclipse.org/modeling/emf/.

  3. 3.

    Bizagi Process Modeler homepage: http://www.bizagi.com/index.php/en/products/bizagi-process-modeler.

  4. 4.

    Archi homepage: http://archi.cetis.ac.uk/.

  5. 5.

    OGNL Language Guide: http://www.opensymphony.com/ognl/html/Language Guide/index.html.

  6. 6.

    Language Guide for MVEL 2.0: http://mvel.codehaus.org/Language+Guide+ for+2.0.

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Correspondence to Mario Sánchez .

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Sánchez, M., Reyes, J.C., Villalobos, J. (2014). Extraction and Reconstruction of Enterprise Models. In: Barjis, J., Pergl, R. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2014. Lecture Notes in Business Information Processing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44860-1_1

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  • DOI: https://doi.org/10.1007/978-3-662-44860-1_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44859-5

  • Online ISBN: 978-3-662-44860-1

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