NDLI: Document Retrieval Metrics for Program Understanding

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Document Retrieval Metrics for Program Understanding

Content Provider	ACM Digital Library
Author	Harth, Eric Dugerdil, Philippe
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.
Starting Page	8
Ending Page	15
Page Count	8
File Format	PDF
ISBN	9781450340045
DOI	10.1145/2838706.2838710
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-12-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Program comprehension Dynamic analysis Document retrieval metrics Domain ontology
Content Type	Text
Resource Type	Article

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