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A meta-model for dataflow-based rules in smart environments: Evaluating user comprehension and performance

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A meta-model for dataflow-based rules in smart environments: Evaluating user comprehension and performance

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Catalá Bolós, A.; Pons, P.; Jaén Martínez, FJ.; Mocholi Agües, JA.; Navarro Martínez, EM. (2013). A meta-model for dataflow-based rules in smart environments: Evaluating user comprehension and performance. Science of Computer Programming. 78(10):1930-1950. doi:10.1016/j.scico.2012.06.010.

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Título: A meta-model for dataflow-based rules in smart environments: Evaluating user comprehension and performance
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
A considerable part of the behavior in smart environments relies on event-driven and rule specification. Rules are the mechanism most often used to enable user customization of the environment. However, the expressiveness ...[+]
Palabras clave: Ambient intelligence , Customization , Dataflow , Event based , Non-expert programmer , Rule , Smart home , Visual language
Derechos de uso: Reserva de todos los derechos
Fuente:
Science of Computer Programming. (issn: 0167-6423 )
DOI: 10.1016/j.scico.2012.06.010
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.scico.2012.06.010
Descripción: NOTICE: this is the author’s version of a work that was accepted for publication in Science of Computer Programming Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of Computer Programming, [Volume 78, Issue 10, 1 October 2013, Pages 1930–1950] DOI 10.1016/j.scico.2012.06.010
Patrocinador:
Spanish Ministry of Education [TSI2010-20488 and AP2006-00181]
Tipo: Artículo

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