IT ecosystems - systems composed of a large number of distributed, autonomous, cooperating, decentralized, interacting, organically grown, heterogeneous, and continually evolving subsystems - are the future system generation. Today’s state of the art does not enable us to develop these systems. Within the NTH Focused Research School for IT Ecosystems, research project AIM deals with methods and tools to guarantee the functionality of a complex IT ecosystem especially when a top-down design is not possible anymore. Thus, adaptive information- and collaboration architectures considering independent evolution of subsystems as well as suitable control mechanisms are examined. This technical report analyzes how adaptive behavior of subsystems can be modeled adequately by standard formalisms for behavioral modeling (e.g. UML) as well as advanced approaches for modeling adaptive behavior (e.g. PobSAM). We apply the selected modeling languages on a fictional case study, an airport departure scenario. The smart airport itself can be seen as an IT ecosystem due to the complexity of the interacting systems.