Abstract
The paper focuses on the idea to semi-automate relational database development. Various approaches to ease, automate conceptual data modeling discussed. A chosen method to semi-automate conceptual data model development was pattern based-approach. This paper introduces a data model patterns library and a CASE tool to use it. Furthermore, an experiment was conducted to test the abilities of a CASE tool. The purpose of the experiment was to test the coverage and time aspects of an actual database schema reproduction using a CASE tool. Experiment results showed that patterns cover a large portion of a conceptual data model, and a new CASE tool reduces the time required to develop a conceptual data model by hand.
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