Abstract
An increasing number of data sources are available on the Internet, many of which offer semantically overlapping data, but based on different schemas, or models. While it is often of interest to integrate such data sources, the lack of consistency among them makes this integration difficult.
This paper addresses the need for new techniques that enable the modeling and consistency checking for legacy data sources. Specifically, the paper contributes to the development of a framework that enables consistency testing of data coming from different types of data sources. The vehicle is UML and its accompanying XMI. The paper presents techniques for modeling consistency requirements using OCL and other UML modeling elements: it studies how models that describe the required consistencies among instances of legacy models can be designed in standard UML tools that support XMI. The paper also considers the automatic checking of consistency in the context of one of the modeling techniques. The legacy model instances that are inputs to the consistency check must be represented in XMI.
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Nytun, J.P., Jensen, C.S. (2003). Modeling and Testing Legacy Data Consistency Requirements. In: Stevens, P., Whittle, J., Booch, G. (eds) «UML» 2003 - The Unified Modeling Language. Modeling Languages and Applications. UML 2003. Lecture Notes in Computer Science, vol 2863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45221-8_29
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DOI: https://doi.org/10.1007/978-3-540-45221-8_29
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