Factbase Filtering Issues in an Ontology-Based Reverse Engineering Tool Integration System |
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| Authors: | Dean Jin James R Cordy |
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| Affiliation: | Department of Computer Science, University of Manitoba, Winnipeg, Canada;School of Computing, Queen's University, Kingston, Canada |
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| Abstract: | The Ontological Adaptive Service-Sharing Integration System (OASIS) facilitates reverse engineering tool interoperability by sharing services among tools that represent software in a conceptually equivalent manner. OASIS uses a domain ontology to record the representational and service-related concepts each tool offers. Specialized adapters use a filtering process to map factbase instances to domain ontology concepts and apply shared services. This paper examines three issues related to the filtering process: representational correspondence, loss of precision and information dilution. |
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| Keywords: | reverse engineering tool integration interoperability service-sharing domain ontology factbase filtering |
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