Abstract
The need for domain knowledge representation for program comprehension is now widely accepted in the program comprehension community. The so-called concept assignment problem represents the challenge to locate domain concepts in the source code of programs. The vast majority of attempts to solve it are based on static source code search for clues to domain concepts. In contrast, our approach is based on dynamic analysis using information retrieval (IR) metrics. First we explain how we modeled the domain concepts and their role in program comprehension. Next we present how some of the popular IR metrics could be adapted to the concept assignment problem and the way we implemented the search engine. Then we present our own metric and the performance of these metrics to retrieve domain concepts in source code. The contribution of the paper is to show how the IR metrics could be applied to the concept assignment problem when the documents to retrieve are domain concepts structured in an ontology.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
