Improving the tokenisation of identifier names
Proceedings of the 25th European conference on Object-oriented programming
API2MoL: Automating the building of bridges between APIs and Model-Driven Engineering
Information and Software Technology
Proceedings of the 21st international conference companion on World Wide Web
Ontology-based documentation extraction for semi-automatic migration of Java code
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Improving information retrieval-based concept location using contextual relationships
Proceedings of the 34th International Conference on Software Engineering
Execution trace exploration and analysis using ontologies
RV'11 Proceedings of the Second international conference on Runtime verification
Supporting concept location through identifier parsing and ontology extraction
Journal of Systems and Software
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Domain specific APIs offer their clients ready-to-use implementations of domain concepts. Beside being interfaces between the worlds of humans and computers, domain specific APIs contain a considerable amount of domain knowledge. Due to the big abstraction gap between the real world and today¿s programming languages, in addition to the knowledge about their domain, these APIs are cluttered with a considerable amount of noise in form of implementation detail. Furthermore, an API offers a particular view on its domain and different APIs regard their domains from different perspectives. In this paper we propose an approach for building domain ontologies by identifying commonalities between domain specific APIs that target the same domain. Besides our ontology extraction algorithm, we present a methodology for eliminating the noise and we sketch possible usage-scenarios of the ontologies for program analysis and understanding. We evaluate our approach through a set of case-studies on extracting domain ontologies from well-known domain specific APIs.