Building applications by assembling software components requires analyses of Architecture Description (AD) models for checking that component interactions respect the application and runtime context requirements. Most existing interaction model analyses are static: they do not take into account runtime information, e.g., parameter values. This paper presents a model-based framework that enables architects to both specify component interaction and perform dynamic validation. Our framework analyses AD models to identify partially compatible interactions, which require runtime checking. Then, it instruments the application to reify runtime information for error detection. By using this framework in iterative software design processes, architects can get design feedback, \textit{i.e.}, detected errors, and update the AD models accordingly. Moreover, our solution is generic regarding underlying platforms. This genericity is achieved through the mappings from the generic AD models to platform-specific API calls for constructing the running system.