TY - GEN
T1 - Towards an Architecture Model for Dynamic Software Product Lines Engineering
AU - Lima dos Santos, Edilton
AU - Ivan do Carmo Machado
N1 - Funding Information:
This research was partially funded by INES 2.0, CNPq grant 465614/2014-0 and FAPESB grants JCB0060/2016 and BOL2521/2016.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/6
Y1 - 2018/8/6
N2 - Dynamic Software Product Lines (DSPL) engineering makes it possible to deliver software products capable of adapting to fluctuations in user needs and evolving resource constraints at runtime. Based on an architecture-centric approach, a DSPL is capable to analyze changes in context, thus responding by performing system adaptations. In this work, we propose an architecture model for DSPL engineering based on the MAPE-K model concept, a feasible strategy to gather and analyze contextual information thus enabling product reconfiguration at runtime. We evaluated the proposed architecture model in a Smart Home System, using OSGi and MQTT. The results are promising, as the DSPL demonstrated its capability to adapt and reconfigure itself according to the new sensors connected to the system.
AB - Dynamic Software Product Lines (DSPL) engineering makes it possible to deliver software products capable of adapting to fluctuations in user needs and evolving resource constraints at runtime. Based on an architecture-centric approach, a DSPL is capable to analyze changes in context, thus responding by performing system adaptations. In this work, we propose an architecture model for DSPL engineering based on the MAPE-K model concept, a feasible strategy to gather and analyze contextual information thus enabling product reconfiguration at runtime. We evaluated the proposed architecture model in a Smart Home System, using OSGi and MQTT. The results are promising, as the DSPL demonstrated its capability to adapt and reconfigure itself according to the new sensors connected to the system.
KW - Dynamic software product lines
KW - Self-adaptive systems
KW - Software product lines
KW - Systems architecture
UR - https://ieeexplore.ieee.org/abstract/document/8424684
UR - http://www.scopus.com/inward/record.url?scp=85052280608&partnerID=8YFLogxK
U2 - 10.1109/IRI.2018.00013
DO - 10.1109/IRI.2018.00013
M3 - Conference contribution
SN - 978-1-5386-2660-3
T3 - Proceedings - 2018 IEEE 19th International Conference on Information Reuse and Integration for Data Science, IRI 2018
SP - 31
EP - 38
BT - Proceedings - 2018 IEEE 19th International Conference on Information Reuse and Integration for Data Science, IRI 2018
PB - IEEE
T2 - 19th IEEE International Conference on Information Reuse and Integration
Y2 - 7 July 2018 through 9 July 2018
ER -