User interface adaptations can be performed at runtime to dynamically reflect any change of context. Complex user interfaces and contexts can lead to the combinatorial explosion of the number of possible adaptations. Thus, dynamic adaptations come across the issue of adapting user interfaces in a reasonable time-slot with limited resources. In this paper, we propose to combine aspect-oriented modeling with property-based reasoning to tame complex and dynamic user interfaces. At runtime and in a limited time-slot, this combination enables efficient reasoning on the current context and on the available user interface components to provide a well suited adaptation. The proposed approach has been evaluated through EnTiMid, a middleware for home automation.

No abstract

No abstract

No abstract

No abstract