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Exploring quality-aware architectural transformations at run-time : the ENIA case
Criado, Javier; Martínez Fernández, Silverio Juan; Ameller, David; Iribarne, Luís; Padilla, Nicolás
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació; Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
The final publication is available at http://link.springer.com/chapter/10.1007/978-3-319-45547-1_23
Adapting software systems at run-time is a key issue, especially when these systems consist of components used as intermediary for human-computer interaction. In this sense, model transformation techniques have a widespread acceptance as a mechanism for adapting and evolving the software architecture of such systems. However, existing model transformations often focus on functional requirements, and quality attributes are only manually considered after the transformations are done. This paper aims to improve the quality of adaptations and evolutions in component-based software systems by taking into account quality attributes within the model transformation process. To this end, we present a quality-aware transformation process using software architecture metrics to select among many alternative model transformations. Such metrics evaluate the quality attributes of an architecture. We validate the presented quality-aware transformation process in ENIA, a geographic information system whose user interfaces are based on coarsegrained components and need to be adapted at run-time.
Peer Reviewed
-Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
-Computer architecture
-Computer software
-Geographic information systems
-Software architecture
-User interfases
-Architectural transformation
-Architecture configuration
-Component based software
-Component-based software systems
-Functional requirement
-Model transformation
-Model transformation technique
-Transformation process
-Arquitectura d'ordinadors
Article - Submitted version
Conference Object
         

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