An Information Retrieval Approach to Concept Location in Source Code (2004)
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| Venue: | In Proceedings of the 11th Working Conference on Reverse Engineering (WCRE 2004 |
| Citations: | 57 - 9 self |
BibTeX
@INPROCEEDINGS{Marcus04aninformation,
author = {Andrian Marcus and Andrey Sergeyev and Václav Rajlich and Jonathan I. Maletic},
title = {An Information Retrieval Approach to Concept Location in Source Code},
booktitle = {In Proceedings of the 11th Working Conference on Reverse Engineering (WCRE 2004},
year = {2004},
pages = {214--223},
publisher = {IEEE Computer Society}
}
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Abstract
Concept location identifies parts of a software system that implement a specific concept that originates from the problem or the solution domain. Concept location is a very common software engineering activity that directly supports software maintenance and evolution tasks such as incremental change and reverse engineering. This paper addresses the problem of concept location using an advanced information retrieval method, Latent Semantic Indexing (LSI). LSI is used to map concepts expressed in natural language by the programmer to the relevant parts of the source code. Results of a case study on NCSA Mosaic are presented and compared with previously published results of other static methods for concept location. 1
