Dynamic structure in software architectures
SIGSOFT '96 Proceedings of the 4th ACM SIGSOFT symposium on Foundations of software engineering
Design and use of software architectures: adopting and evolving a product-line approach
Design and use of software architectures: adopting and evolving a product-line approach
Evaluating software architectures: methods and case studies
Evaluating software architectures: methods and case studies
Extending and implementing the stable model semantics
Artificial Intelligence
Guest Editors' Introduction: Configuration
IEEE Intelligent Systems
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Design-time product line architectures for any-time variability
Science of Computer Programming - Special issue: Software variability management
A taxonomy of variability realization techniques: Research Articles
Software—Practice & Experience
SPLC '06 Proceedings of the 10th International on Software Product Line Conference
Using Product Line Techniques to Build Adaptive Systems
SPLC '06 Proceedings of the 10th International on Software Product Line Conference
Configuration in Industrial Product Families: The ConIPF Methodology
Configuration in Industrial Product Families: The ConIPF Methodology
Kumbang: A domain ontology for modelling variability in software product families
Advanced Engineering Informatics
Dynamic Software Product Lines
Computer
ECSA '08 Proceedings of the 2nd European conference on Software Architecture
Feature driven dynamic customization of software product lines
ICSR'06 Proceedings of the 9th international conference on Reuse of Off-the-Shelf Components
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Variability in software architectures, and especially dynamic variability in software architectures, calls for tool support. The complexity involved in the variability means that tools should be able to efficiently derive architectures at runtime. Our contribution is to offer concepts and an expository instantiation of Configurator-as-a-Service (CaaS). CaaS provides integrability, separation of derivation concerns, and automation. The approach is validated with a case of social devices, where proximity-based, distributed service compositions of mobile devices are derived at runtime.