Abstract
Enterprises have a large amount of Information Technology (IT) elements for supporting their business. Enterprise models represent the state of IT and business elements and the relation between them in a certain moment. However, in some cases it is difficult to build models that accurately represent the enterprise because information may vary fast over time, or because the granularity of the model may be inadequate for its purpose. When models that are imprecise and do not represent accurately the enterprise are used to perform analysis, it is necessary to evaluate their suitability and determine whether they can be used or if better models have to be constructed. In this paper, we focus on this problem and propose an approach for evaluating the level of imprecision of enterprise models based on the impact and sensitivity of imprecise information regarding an analysis method.
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Florez, H., Sánchez, M., Villalobos, J. (2016). Analysis of Imprecise Enterprise Models. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_22
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DOI: https://doi.org/10.1007/978-3-319-39429-9_22
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