Data Model Metrics

نویسندگان

  • MARIO PIATTINI
  • MARCELA GENERO
چکیده

Due to the central role that conceptual data models play in the design of databases, it is crucial to assure their quality since the early phases of database life cycle. For assessing (and if it is necessary improving) conceptual data model quality it is necessary to dispose of quantitative and objective measures in order to avoid bias in the quality evaluation process. Is in this context where software measurement can help IS designers to make better decision during design activities. The main interest of this article is to provide a state of the art of measures for conceptual data models.

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تاریخ انتشار 1990