Factbase Filtering Issues in an Ontology-Based Reverse Engineering Tool Integration System

Authors:
Dean Jin;James R. Cordy
Affiliations:
Department of Computer Science, University of Manitoba, Winnipeg, Canada;School of Computing, Queen's University, Kingston, Canada
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2005

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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.