Abstract
Data schemas are primary artefacts for the development and maintenance of data intensive software systems. As for the application
code, one way to improve the quality of the models is to ensure that they comply with best design practices.
In this paper, we present a research on data schemas quality, in which the quality evaluation process is based on the identification of specific schema constructs and their comparison with best practices.
We provide an overview of a framework based on the use of semantics-preserving transformations as a way to compare and suggest improvements for the most significant best design practices.
The paper also summarize the contribution of the approach and of the current achievements.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the CAiSE Doctoral Consortium 2010 |
| Editors | Anne Persson, Boualem Benatallah, Adnene Guabtni |
| Volume | 593 |
| Publication status | Unpublished - 2010 |
Keywords
- Database schema
- schema evaluation
- schema transformation
- schema improvement