The Vision of Autonomic Computing
Computer
An Architecture for the Effective Support of Adaptive Context-Aware Applications
MDM '01 Proceedings of the Second International Conference on Mobile Data Management
Towards Modeling and Reasoning Support for Early-Phase Requirements Engineering
RE '97 Proceedings of the 3rd IEEE International Symposium on Requirements Engineering
Computer
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
Clinical requirements engineering
Proceedings of the 27th international conference on Software engineering
GridStix: Supporting Flood Prediction using Embedded Hardware and Next Generation Grid Middleware
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Goal-Oriented Modeling of Requirements Engineering for Dynamically Adaptive System
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Self-Managed Systems: an Architectural Challenge
FOSE '07 2007 Future of Software Engineering
Visualizing the Analysis of Dynamically Adaptive Systems Using i* and DSLs
REV '07 Proceedings of the Second International Workshop on Requirements Engineering Visualization
An approach to self-adaptive software based on supervisory control
IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
Requirements Tracing to Support Change in Dynamically Adaptive Systems
REFSQ '09 Proceedings of the 15th International Working Conference on Requirements Engineering: Foundation for Software Quality
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Dynamically adaptive systems (DASs) change behaviour at run-time to operate in volatile environments. As we learn how best to design and build systems with greater autonomy, we must also consider when to do so. Thus far, DASs have tended to showcase the benefits of adaptation infrastructures with little understanding of what characterizes the problem domains that require run-time adaptation. This position paper posits that context-dependent variation in the acceptable trade-offs between non-functional requirements is a key indicator of problems that require dynamically adaptive solutions.