Discrete mathematical structures for computer science (2nd ed.)
Discrete mathematical structures for computer science (2nd ed.)
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Types of software evolution and software maintenance
Journal of Software Maintenance: Research and Practice
A Unified Framework for Cohesion Measurement in Object-OrientedSystems
Empirical Software Engineering
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Towards a Framework for Software Measurement Validation
IEEE Transactions on Software Engineering
A Comprehensive Empirical Validation of Design Measures for Object-Oriented Systems
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
An Empirical Validation of Object-Oriented Metrics in Two Different Iterative Software Processes
IEEE Transactions on Software Engineering
Enriching ebXML Registries with OWL Ontologies for Efficient Service Discovery
RIDE '04 Proceedings of the 14th International Workshop on Research Issues on Data Engineering: Web Services for E-Commerce and E-Government Applications (RIDE'04)
Coupling Metrics for Ontology-Based Systems
IEEE Software
A semiotic metrics suite for assessing the quality of ontologies
Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
Semantics and Knowledge Grids: Building the Next-Generation Grid
IEEE Intelligent Systems
Semantic oriented ontology cohesion metrics for ontology-based systems
Journal of Systems and Software
Integration maturity metrics: Development of an integration readiness level
Information-Knowledge-Systems Management
Evaluating ontology extraction tools using a comprehensive evaluation framework
Data & Knowledge Engineering
Cohesion and coupling metrics for ontology modules
Information Technology and Management
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
Unintended consequences of class-based ontological commitment
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
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Many application areas today make use of ontologies. With the advent of semantic Web technologies, ontology based systems have become widespread. Developing an ontology is part of the necessary early development of an ontology-based system. Since the validity and quality of the ontology data directly affects the validity and quality of the system using the ontology, evolution of the ontology data directly affects the evolution and/or maintenance of the ontology-based systems that depend on and employ the ontology data. Our research examines the quality, completeness, and stability of ontology data as ontologies evolve. We propose a metrics suite, based on standard software quality concepts, to measure the complexity and cohesion of ontology data. First we theoretically validate our metrics. Then we examine empirically whether our metrics determine ontology data quality, by comparing them to human evaluator ratings. We conclude that several of our metrics successfully determine ontology complexity or cohesion. Finally, we examine, over evolving ontology data, whether our metrics determine ontology completeness and stability. We determine that various metrics reflect different kinds of changes. Our experiments indicate our metrics' measure ontology stability and completeness; however, interpretation of specific metrics values and the interaction of different metrics requires further study. Copyright © 2007 John Wiley & Sons, Ltd.