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Theorem prover approach to semistructured data design

Authors
Lee, Scott Uk-JinDobbie, GillianSun, JingGroves, Lindsay
Issue Date
Nov-2010
Publisher
Kluwer Academic Publishers
Keywords
Formal specification; Automated verification; Semistructured data modeling; Schema normalization; Theorem proving; ORA-SS; PVS
Citation
Formal Methods in System Design, v.37, no.1, pp.1 - 60
Indexed
SCIE
SCOPUS
Journal Title
Formal Methods in System Design
Volume
37
Number
1
Start Page
1
End Page
60
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39424
DOI
10.1007/s10703-010-0099-4
ISSN
0925-9856
Abstract
The wide adoption of semistructured data has created a growing need for effective ways to ensure the correctness of its organization. One effective way to achieve this goal is through formal specification and automated verification. This paper presents a theorem proving approach towards verifying that a particular design or organization of semistructured data is correct. We formally specify the semantics of the Object Relationship Attribute data model for Semistructured Data (ORA-SS) modeling notation and its correctness criteria for semistructured data normalization using the Prototype Verification System (PVS). The result is that effective verification on semistructured data models and their normalization can be carried out using the PVS theorem prover.
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ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
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