An Approach for Managing Quality Attributes at Runtime using Feature Models
| Autor: | Sabine Moisan, Alejandro Zunino, J. Andres Diaz-Pace, Luis Emiliano Sanchez, Jean-Paul Rigault |
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| Přispěvatelé: | Instituto Superior de Ingeniería de Software Tandil [Buenos Aires] (ISISTAN), Universidad Nacional del Centro de la Provincia de Buenos Aires [Buenos Aires] (UNICEN), Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Moisan, Sabine |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Software visualization
Optimization Optimization problem Computer science Real-time computing [INFO] Computer Science [cs] computer.software_genre Feature model Software quality Feature-oriented domain analysis Runtime Adaptation Index Terms—Feature Models Dynamic Software Product Lines Component-based software engineering Domain engineering Domain analysis [INFO]Computer Science [cs] Data mining computer Quality Attributes Component-Based Software Engineer-ing |
| Zdroj: | 8th Brazilian Symposium on Software Components, Architectures and Reuse (SBCARS 2014) 8th Brazilian Symposium on Software Components, Architectures and Reuse (SBCARS 2014), Sep 2014, Maceio, Brazil. pp.10 SBCARS |
| Popis: | International audience; Feature modeling has been widely used in domain engineering for the development and configuration of software products. A feature model represents the set of possible configu-rations to apply in a given context. Recently, this formalism was applied to the runtime (re-)configuration of systems with high variability and context changes, in which the selection of the best candidate configuration is seen as an optimization problem based on quality criteria. To this end, we propose an approach for the specification, measurement and optimization of runtime quality attributes based on feature models, and furthermore, we describe its integration into a component-based architecture for supporting dynamically adaptive systems. A novel aspect of our work is that feature models are annotated with quality-attribute metrics, and then an efficient and flexible algorithm is used to deal with the optimization problem. We report on some examples of adaptation and quality-attribute scenarios in the context of a video surveillance domain, in order to illustrate the pros and cons of our approach. |
| Databáze: | OpenAIRE |
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