INVESTIGADORES
ZUNINO SUAREZ Alejandro Octavio
congresos y reuniones científicas
Título:
An Approach for Managing Quality Attributes at Runtime using Feature Models
Autor/es:
SANCHEZ, L. E.; DIAZ PACE, A.; ZUNINO, A.; MOISAN, S.; RIGAULT, J. P.
Lugar:
Maceió
Reunión:
Conferencia; VIII Brazilian Symposium on Software Components, Architectures and Reuse (SBCARS), 5rd Brazilian Conference on Software: Theory and Practice; 2014
Institución organizadora:
SBC & IEEE
Resumen:
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 configurations 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. Feature models are annotated
with quality-attribute properties and 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.