Parallel object server as a data repository for CASE tools

In this paper we investigate features of a parallel object server when used as a data repository in a CASE tool. We argue that hierarchical structures of fine grained objects are typical for data used by CASE tools, we describe the construction of the server and the implementation of the prototype. The presented results of our experiments concern the question how the speedup depends on the number of processors involved, the number of users working simultaneously and the size of methods in classes