Semantic clustering: Identifying topics in source code
Information and Software Technology
Identifying Word Relations in Software: A Comparative Study of Semantic Similarity Tools
ICPC '08 Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension
Extracting Domain Ontologies from Domain Specific APIs
CSMR '08 Proceedings of the 2008 12th European Conference on Software Maintenance and Reengineering
Automatically capturing source code context of NL-queries for software maintenance and reuse
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Sentence-to-Code Traceability Recovery with Domain Ontologies
APSEC '10 Proceedings of the 2010 Asia Pacific Software Engineering Conference
Relating developers' concepts and artefact vocabulary in a financial software module
ICSM '11 Proceedings of the 2011 27th IEEE International Conference on Software Maintenance
Combining biological databases and text mining to support new bioinformatics applications
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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For software engineers to find all the relevant program elements implementing a business concept, existing techniques based on information retrieval (IR) fall short in providing adequate solutions. Such techniques usually only consider the conceptual relations based on lexical similarities during concept mapping. However, it is also fundamental to consider the contextual relationships existing within an application’s business domain to aid in concept location. As an example, this paper proposes to use domain specific ontological relations during concept mapping and location activities when implementing business requirements.