Specification of a Component-based Domotic System to Support User-Defined Scenarios

Fady Hamoui 1 Marianne Huchard 2 Christelle Urtado 1 Sylvain Vauttier 1
1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production
2 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Many studies have been conducted in order to develop systems that respond to user requirements in domotic environments. These systems generally offer predefined scenarios corresponding to general requirements and enable users to select those he/she wants to trigger. We claim that such behaviors cannot be hardwired: user scenario definition should be supported. In this article, we propose the specification of a component-based domotic system that tackles this issue. This system automatically detects available devices in the environment and offers users high level Guis to define their own scenarios from functionalities of the detected devices. These scenarios are then automatically implemented by the system: components are generated from device descriptors, assembled as prescribed by the scenarios and the resulting software is run by a rule execution engine
Keywords : domotic component based software engineering
Type de document :
Communication dans un congrès
Guido Wirtz, Jerry Gao,Du Zhang. SEKE 2009 : 21st International Conference on Software Engineering and Knowledge Engineering, Jul 2009, Boston, USA, Knowledge Systems Institute Graduate School, pp.597-602, 2009, 〈http://www.ksi.edu/seke/seke09.html〉
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Contributeur : Marianne Huchard <>
Soumis le : jeudi 10 septembre 2009 - 17:47:36
Dernière modification le : jeudi 24 mai 2018 - 15:59:22
Document(s) archivé(s) le : mardi 16 octobre 2012 - 10:46:49

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Fady Hamoui, Marianne Huchard, Christelle Urtado, Sylvain Vauttier. Specification of a Component-based Domotic System to Support User-Defined Scenarios. Guido Wirtz, Jerry Gao,Du Zhang. SEKE 2009 : 21st International Conference on Software Engineering and Knowledge Engineering, Jul 2009, Boston, USA, Knowledge Systems Institute Graduate School, pp.597-602, 2009, 〈http://www.ksi.edu/seke/seke09.html〉. 〈lirmm-00415722〉

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