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Abstract. Runtime models enable the implementation of highly adaptive applications but also require a rethinking in the way we approach models. Metamodels of runtime models must be supplemented with additional runtime concepts that have an impact on the way how runtime models are built and reflected in the underlying runtime architectures. The goal of this work is the generalization of common concepts found in different approaches utilizing runtime models and the provision of a basis for their meta-modeling. After analyzing recent works dealing with runtime models, we present a metamodeling process for runtime models. Based on a meta-metamodel it guides the creation of metamodels combining design time and runtime concepts.

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Enriched with more and more intelligent devices modern homes rapidly transform into smart environments. Their growing capabilities enable the implementation of a new generation of ubiquitous applications, but also raise the complexity of the development. Developers of applications for smart environments must cope with a multitude of sensors, devices users and thus contexts. We present a model-based , . approach for modeling of, reasoning about a�d controll�ng smart environments. A context model provides adaptive applications with a unified access to the smart home environment and, through a unique approach of utilizing executable models, also reflects its state at runtime. The presented approach supports runtime user interface adaption and reconfiguration for seamless interaction and has been successfully utilized to build several context-adaptive applications running in our smart home testbed. (Abstract) Smart environments; context models; executable models; ambient intelligence