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A methodology to develop EXPRESS data models
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PRE
AI
DOI：10.1080/095119296131814.png)
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Abstract
En 中文
In recent years the development of the formal data specification language EXPRESS, by the STEP committee, has been a significant advance towards a computer-interpretable form of data model. One of the major advantages of having the data model in this form is that it can be tested, validated and then translated into a format convenient to users and system requirements. Through evaluation of various methods and techniques for information modelling, a methodology has been developed to generate a complete and accurate data model in EXPRESS for a system from its original data requirements. The methodology aims to utilize some of the advantages of well-established methods and techniques in software engineering, namely IDEFO and YOURDON, together with advancements in information exchange which have become available through the EXPRESS language and its supporting software tools. This paper describes the stages involved in the data modelling methodology and highlights the logical connections between these stages. The information obtained in each stage can easily be used as the starting point for the next one in order to generate an EXPRESS model.
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