Database schema and data-intensive program quality evaluation

Databases are an integral part of large business softwares. In addition, these softwares include thousands of service invocations to extract and modify data. It is increasingly recognized that the quality of the schema and data access code patterns strongly influences essential qualities of the software such as readability, maintenability and evolvability.

In this project, we are aiming to develop new theories with direct applications. Also, they should be integrated in a CASE tool. In the end, our goal is to elaborate an open framework
- to compute metrics from database schemas and data-intensive programs
- to translate these metrics into qualities of database schemas and data-intensive programs