Opened Access Towards Approximate Model Transformations
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Autor: Troya Castilla, Javier
Wimmer, Manuel
Burgueño, Loli
Vallecillo Moreno, Antonio
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2014
Publicado en: AMT 2014: Workshop on Analysis of Model Transformations co-located with ACM/IEEE 17th International Conference on Model Driven Engineering Languages & Systems (MoDELS 2014) (2014), p 44-53
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Tipo de documento: Ponencia
Resumen: As the size and complexity of models grow, there is a need to count on novel mechanisms and tools for transforming them. This is required, e.g., when model transformations need to provide target models without having access to the complete source models or in really short time—as it happens, e.g., with streaming models—or with very large models for which the transformation algorithms become too slow to be of practical use if the complete population of a model is investigated. In this paper we introduce Approximate Model Transformations, which aim at producing target models that are accurate enough to provide meaningful and useful results in an efficient way, but without having to be fully correct. So to speak, this kind of transformations treats accuracy for execution performance. In particular, we redefine the traditional OCL operators used to query models (e.g., allInstances, select, collect, etc.) by adopting sampling techniques and analyse the accuracy of approximate ...
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Cita: Troya Castilla, J., Wimmer, M., Burgueño, L. y Vallecillo Moreno, A. (2014). Towards Approximate Model Transformations. En AMT 2014: Workshop on Analysis of Model Transformations co-located with ACM/IEEE 17th International Conference on Model Driven Engineering Languages & Systems (MoDELS 2014) (44-53), Valencia, España: CEUR-WS.
Tamaño: 228.3Kb
Formato: PDF

URI: https://hdl.handle.net/11441/73347

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