Good quality models for the analysis of complex enterprise information systems (EIS) are hard to build and require lots of experience and effort, which are not always available. A possible solution to deal with the previous issue is to build automated procedures for quality model generation. Such procedures shall encapsulate previous existing knowledge on quality modeling and their use shall reduce the cost of developing quality models. In this paper, we concentrate on the performance and reliability of EIS and we investigate the automatic generation of quality models from EIS architectural descriptions comprising additional information related to the aspects that affect the quality of the EIS.