Supporting concept location through identifier parsing and ontology extraction
Journal of Systems and Software
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Program identifiers represent an invaluable source of information for developers who are not familiar with the code to be evolved. Domain concepts and inter-concept relationships can be automatically extracted by means of natural language processing techniques applied to the program identifiers. However, the ontology produced by this approach tends to be very large and to include implementation details that reduce its usefulness for domain concept understanding. In this paper, we analyze the effectiveness of information retrieval based techniques used to filter domain concepts and relations from the implementation details, so as to obtain a smaller, more informative domain ontology. In particular, we show that fully automated techniques based on keywords or topics have quite poor performance, while a semi-automated approach, requiring limited user involvement, can highly improve the filtering of domain concepts.