2002Unpublished venueRequires access

Observed idiosyncracies of relational database designs

M. Blaha, William Premerlani

Open publisher page 51 citations

Abstract

Several processes have been advanced in the literature for reverse engineering of relational databases. The inputs to these processes are relational tables and available contextual information. The output is a model of the underlying logical intent, apart from the implementation artifacts. Most of the existing processes for database reverse engineering are inadequate; they assume too high a quality of input information. The authors of these processes are skilled database designers and they are overly optimistic about the state-of-the-art, as practiced. This paper catalogs odd aspects of relational database designs that we have encountered over the past several years. Many of these database designs are from commercial software products.

About this research paper

What this paper is about

Several processes have been advanced in the literature for reverse engineering of relational databases. The inputs to these processes are relational tables and available contextual information. The output is a model of the underlying logical intent, apart from the implementation artifacts. Most of the existing processes for database reverse engineering are inadequate; they assume too high a quality of input information. The authors of these processes are skilled database designers and they are overly optimistic about the state-of-the-art, as practiced. This paper catalogs odd aspects of relational database designs that we have encountered over the past several years. Many of these database designs are from commercial software products.

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OpenAlex reports 51 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Several processes have been advanced in the literature for reverse engineering of relational databases. The inputs to these processes are relational tables and available contextual information. The output is a model of the underlying logical intent, apart from the implementation artifacts. Most of the existing processes for database reverse engineering are inadequate; they assume too high a quality of input information. The authors of these processes are skilled database designers and they are overly optimistic about the state-of-the-art, as practiced. This paper catalogs odd aspects of relational database designs that we have encountered over the past several years. Many of these database designs are from commercial software products.

Key concepts: Relational database, Computer science, Database design, Database model, Database schema, Relational model, Database, Entity–relationship model

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