RT Journal Article
T1 Composition and Self-Adaptation of Service-Based Systems with Feature Models
A1 Cubo, Javier
A1 Gámez, Nadia
A1 Fuentes-Fernández, Lidia
A1 Pimentel-Sánchez, Ernesto
K1 Redes de ordenadores - Arquitecturas
AB The adoption of mechanisms for reusing software in pervasive systems has not yet become standard practice. This is because the use of pre-existing software requires the selection, composition and adaptation of prefabricated software parts, as well as the management of some complex problems such as guaranteeing high levels of efficiency and safety in critical domains. In addition to the wide variety of services, pervasive systems are composed of many networked heterogeneous devices with embedded software. In this work, we promote the safe reuse of services in service-based systems using two complementary technologies, Service-Oriented Architecture and Software Product Lines. In order to do this, we extend both the service discovery and composition processes defined in the DAMASCo framework, which currently does not deal with the service variability that constitutes pervasive systems. We use feature models to represent the variability and to self-adapt the services during the composition in a safe way taking context changes into consideration. We illustrate our proposal with a case study related to the driving domain of an Intelligent Transportation System, handling the context information of the environment.
PB Springer
YR 2013
FD 2013
LK http://hdl.handle.net/10630/5667
UL http://hdl.handle.net/10630/5667
LA eng
NO J. Cubo, N. Gámez, L. Fuentes and E. Pimentel. Composition and Self-Adaptation of Service-Based Systems with Feature Models. Lecture Notes in Computer Science, 7925, 326-342. Springer. 2013
NO Work partially supported by the projects TIN2008-05932,TIN2008-01942, TIN2012-35669, TIN2012-34840 and CSD2007-0004 funded bySpanish Ministry of Economy and Competitiveness and FEDER; P09-TIC-05231 andP11-TIC-7659 funded by Andalusian Government; and FP7-317731 funded by EU. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026