Model-driven development of self-describing components for self-adaptive distributed embedded systems

Increasingly distributed embedded systems are deployed in complex scenarios and must be able to adapt to changing environments and internal system changes. Such self-adaptive embedded systems pose great advantages in terms of flexibility, resource utilization, energy efficiency and robustness. The realization of these systems require enhanced development methods to incorporate the adaption to the design. We introduce a novel concept for the model-driven development of self-adaptive embedded systems. The focus of our work is the definition and transfer of the information needed for the adaption runtime. This is preserved as so-called self-description of the components. We present our self-x profile, a modeling extension for describing the adaption, and the respective design flow with built-in transformations. Furthermore, we outline the applicability of our methodology in an automotive use case.