To overcome the above-mentioned issues, several challenges arise which have to be treated. The first challenge is to provide a modeling technique, which captures all elements of interest of IT solution architectures. A model driven approach allows reuse previous designs or parts of them. Further, the model can provide a common definition of semantic and syntax, and a common understanding of IT solution architectures. Providing a model driven approach also enables automated model analysis, which is in this case, concerned to the fulfillment of certain requirements of interest. The outcome of these analyses can be utilized to study the impact of certain modifications. The analysis, which estimates the quality of IT solution architectures, requires evaluating several metrics first. Therefore, it has to be studied which metrics are necessary and which informations are required in order to evaluate these metrics properly. Metrics are estimated by means of evaluation methods, which can vary from simple analytic functions to complex simulations. The whole approach should benefit from various existing evaluation methods, which are developed in the past . This requires the definition of a common interface, which allows the integration of various evaluation methods. For distinctive reasoning about quality, a framework is required which allows the definition of functional and non-functional requirements. Such a formal framework is essential because it permits to relate requirement issues directly to quality terms. Thus, the quality of IT solution architectures is directly related to the fulfillment of the requirements, which are of interest.