ConcurTaskTrees: A Diagrammatic Notation for Specifying Task Models
INTERACT '97 Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction
Toward an OSGi-Based Infrastructure for Context-Aware Applications
IEEE Pervasive Computing
Efficiently Managing Context Information for Large-Scale Scenarios
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
A Metamodel Approach to Context Information
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
An ontology-based context management and reasoning process for UbiComp applications
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
SNOW - A Multimodal Approach for Mobile Maintenance Applications
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
Middleware for distributed context-aware systems
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Real-time performance modeling for adaptive software systems
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
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Context-awareness and adaptation are highly interrelated key concepts to build applications for heterogeneous and dynamic execution environments. While gathering, distribution, abstraction, and management of context is examined in research for several years, development of context-aware, adaptive applications, and the relations between context and adaptation are rarely considered. We present a model-driven approach for developing adaptive software. It comprises a design methodology, a set of software engineering artefacts, and a runtime platform for adaptive, multimodal software. Our approach focusses on modelling context information, context providers, and their relations to system functionality and user interface adaptation. We developed an adaptive plant maintenance application to show the feasibility of our methodology.