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Validating ORA-SS Data Models using Alloy
Sydney, Australia April 18-April 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ASWEC.2006.54Australian Software Engineering Confe ...
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Lin Wang, University of Auckland, New Zealand
Gillian Dobbie, University of Auckland, New Zealand
Jing Sun, University of Auckland, New Zealand
Lindsay Groves, Victoria University of Wellington, New Zealand
Semistructured data is typically represented using XML. However, little semantic information can be captured using XML. Other data models, such as the Object Relationship Attribute data model for Semistructured data (ORASS), have been introduced to represent more detailed semantic information. Automatic analysis of the data models would enable us to reveal inconsistencies both at the schema and instance levels of the semistructured data. The aim of this paper is to encode the semantics of the ORA-SS data model in the Alloy formal language and automatically validate the semistructured data design using the Alloy Analyzer. It enables us to check the consistency of an ORA-SS schema and its instances.
Index Terms:
Semistructured data, ORA-SS, Modeling language semantics, Formal verification and validation.
Citation:
Lin Wang, Gillian Dobbie, Jing Sun, Lindsay Groves, "Validating ORA-SS Data Models using Alloy," aswec, pp.231-242, Australian Software Engineering Conference (ASWEC'06), 2006
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