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Título

Database complexity metrics

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Autores

Coral Calero, University of Castilla-La Mancha
Mario Piattini, University of Castilla-La Mancha
Marcela Genero, University of Castilla-La Mancha

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Resumo

Metrics are useful mechanisms in improving the quality of software products and also for determining the best ways to help practitioners and researchers. Unfortunately, almost all the metrics put forward focus on program characteristics disregarding databases. However, databases are becoming more complex, and it is necessary to measure schemata complexity in order to understand, monitor, control, predict and improve database development and maintenance projects. In this paper, we will present different measures in order to measure the complexity that affects the maintainability of the relational, object-relational and active database schemas. But it is not enough to propose the metrics, a formal validation is also needed for knowing their mathematical characteristics. We will present the two main tendencies in metrics formal validation, axiomatic approaches and measurement theory. However, into the software measurement the research is needed from theoretical but also from practical point of view (Glass, 1993). For this reason, we will also present some of the experiments that we have developed for the different kinds of databases.

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Palavras Chave

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