ICSP'10 Proceedings of the 2010 international conference on New modeling concepts for today's software processes: software process
ECSA'10 Proceedings of the 4th European conference on Software architecture
Service obtrusiveness adaptation
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
Implicit interaction design for pervasive workflows
Personal and Ubiquitous Computing
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Autonomic computing driven by feature models and architecture in FamiWare
ECSA'11 Proceedings of the 5th European conference on Software architecture
Personalization for unobtrusive service interaction
Personal and Ubiquitous Computing
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Runtime variability for dynamic reconfiguration in wireless sensor network product lines
Proceedings of the 16th International Software Product Line Conference - Volume 2
Dynamic evolution of context-aware systems with models at runtime
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
Applying CVL to business process variability management
Proceedings of the VARiability for You Workshop: Variability Modeling Made Useful for Everyone
A NFR-based framework for user-centered adaptation
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Integration architecture synthesis for taming uncertainty in the digital space
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
MobiLine: A Nested Software Product Line for the domain of mobile and context-aware applications
Science of Computer Programming
Prototyping Dynamic Software Product Lines to evaluate run-time reconfigurations
Science of Computer Programming
Hi-index | 4.10 |
By automating tasks such as installation, healing, and updating, autonomic computing simplifies system operation at the cost of increasing internal complexity. A proposed approach for developing autonomic systems in smart homes reuses variability models at runtime to provide a richer semantic base for decision making.