MIKE2.0 uses “small world” measures to assess data models (see Small Worlds Data Transformation Measure). The challenge many users have found is that for large models, it is very difficult to calculate these metrics. Thomas Isaksson has created an open source tool and provided the code on SourceForge which automates the process , supporting any RDBMS for which you have a JDBC driver or ERWin (via CSV output). 

We hope that this initiative will further the encourage the adoption of these data model metrics and help demystify the traditional modelling process. Please take the time to use, test and extend this beta code.