Measuring the conceptual fitness of an application in a computing ecosystem
Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research
Analyzing software evolution through feature views: Research Articles
Journal of Software Maintenance and Evolution: Research and Practice
Instructional ethology: reverse engineering for serious design of educational games
Future Play '07 Proceedings of the 2007 conference on Future Play
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
An evaluation method for ontology complexity analysis in ontology evolution
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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Applications possess and implement a specific "theoryof the world" or ontology. Recovering and modeling thisontology may help inform software developers seeking toextend or adapt an application's functionality for its nextrelease. We have developed a method for the black-boxreverse engineering or excavation of an application'sontology. The ontology is represented as a semanticnetwork, and graph theoretic measures are used toidentify core concepts. Core concepts contributedisproportionately to the structural integrity of theontology. We present analyses of ontologies excavatedfrom several interactive applications. From a set ofseveral candidate metrics for identifying core conceptswe find node betweenness centrality is a good measure ofa concept's influence on ontological integrity and that thek-core algorithm may be useful for identifying cohesivesubgroups of core features. We conclude by discussinghow these analyses can be applied to support applicationevolution.