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Diseño de bases de datos relacionales con DBDStudio

Authors: Jorge Santiso, Jesús M.; Nichita, Pavel;

Diseño de bases de datos relacionales con DBDStudio

Abstract

En este artículo se presenta DBDStudio, una herramienta software implementada en formato aplicación web. El objetivo de la misma es la de asistir en el análisis y diseño de bases de datos relacionales que utilicen condiciones de integridad de tipo dependencia funcional. Entre otras, la aplicación permite calcular las claves, el cierre de un conjunto de atributos, el recubrimiento minimal, detectar y normalizar hasta las formas normales de 3FN (tercera forma norma) y FNBC (forma normal de Boyce y Codd). Pensamos que la herramienta puede resultar valiosa para las personas relacionadas con el proceso de enseñanza/aprendizaje del diseño de bases de datos relacionales, facilitándoles a los estudiantes la comprensión de las principales nociones teóricas gracias a los diversos algoritmos implementados.

In this paper we present DBDStudio, a software tool, developed as a web-app. The goal is to assist in the analysis and design of relational databases based on functional dependencies. Among others, the app allows to compute keys, closure of attribute sets, minimal cover, detect and normalize till 3NF (third normal form) and BCNF (Boyce and Codd normal form). We think this tool is valuable as a teaching resource for who are involved in the training of relational database design. The tool provides great help for the students, making easier learning the theoretical notions thanks to the different implemented algorithms.

Keywords

Bases de datos relacionales, Formas normales, Aplicación web, Teoría de la normalización

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green