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

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.