With the increasing demand for highly complex, integrated and application-domain-speci c systems engineering environments SEEs more or less specialized c omponents of the SEEs are developed. An important component is the database management system DBMS. As conventional DBMSs are not useful to ful ll the requirements on highly complex, persistent data structures, specialized DBMSs, namely object management systems OMS, have been developed. An advantage of OMSs is that they further enhance the integration not only of data but also of processes. Currently several specialized OMSs with signi cantly di erent properties such as the data model, architecture and performance a r e available. As it is very dicult for an SEE developer to select the most appropriate OMS, we propo s e a d e cision support method which enables an SEE developer to identify his requirements and to compare the evaluation results of di erent OMSs. Additionally we present a practical experiment where we have applied the decision support method for comparing di erent OMSs. Experiences of the investigation are p r esented brie y.

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Nowadays software systems can be developed for nearly any purpose. For the development of such complex software systems appropriate software development environments (SDEs) are necessary as a "paper and pencil" development is intolerable. For a software producer the introduction of an SDE is part of the technology deployment process during which the staff must learn new methods, gain experience and knowledge by applying the SDE, etc. This paper focusses on a particular activity of the technology deployment process, namely the selection process (i.e. requirements analysis and evaluation of SDEs). The selection process must (1) produce selection results which are rept~odudble and comprehensive and (2) be repeatable and flexible in order to be applied for different software producers. We have developed a selection method which can be applied (1) for a thorough analysis of the requirements of the software producer, (2) for the evaluation of existing SDEs and (3) analyzing the evaluatioja results. For supporting the method we have developed the environment Requiem.