Title

Automated evaluation of correctness and quality of database conceptual schemas

RIS ID

133620

Publication Details

Getta, J. R. (2018). Automated evaluation of correctness and quality of database conceptual schemas. BDET 2018: Proceedings of the 2018 International Conference on Big Data Engineering and Technology (pp. 20-25). New York, United States: ACM.

Abstract

A typical database design methodology based on the conceptual modelling is a standard component of many introductory database courses. Evaluation of correctness and quality of conceptual schemas created by the course participants is always a long and tedious task due the large number of solutions and complexity of the solutions. This work describes a new approach to automated evaluation of correctness and quality of database conceptual schemas. We propose a new notation based on simplified UML class diagrams as a way for unified representation of conceptual schemas and we describe a software tool that transforms the different notations into a common one. Many of simple syntactical mistakes can be detected and reported at a transformation stage. Then, we show how to compare the transformed conceptual schemas with a template solution provided by a course instructor and how to list the discrepancies found in thedesigns.

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Link to publisher version (DOI)

http://dx.doi.org/10.1145/3297730.3297749