Model abstraction using metamodeling has demonstrated the capability to facilitate software reuse, large scale model integration, verification, and validation. Once restricted to static representations that represented the input-output behavior of models, research has developed the capability to build dynamic metamodels. This capability results from a new approach supported by a taxonomy of metamodeling problems, solution structures, and metamodeling methods. The development of the metamodel, however, still requires a thorough understanding of model abstraction, reduced order modeling, and system identification. In addition, even with the most robust procedures it is possible that the desired data generated by a simulation model will not meet the assumptions or numerical requirements of the procedure. Consequently, there is a requirement for a robust metamodeling support system that will support the subject matter expert. Automation of the metamodeling process will assist the analys...