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11th Working Conference on Reverse Engineering (WCRE 2004)
An Information Retrieval Approach to Concept Location in Source Code
Delft, The Netherlands
November 08-November 12
ISBN: 0-7695-2243-2
ASCII Text
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Andrian Marcus, Andrey Sergeyev, V?clav Rajlich, Jonathan I. Maletic, "An Information Retrieval Approach to Concept Location in Source Code," Reverse Engineering, Working Conference on, pp. 214-223, 11th Working Conference on Reverse Engineering (WCRE 2004), 2004.
 
 
BibTex
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@article{ 10.1109/WCRE.2004.10,
author = {Andrian Marcus and Andrey Sergeyev and V?clav Rajlich and Jonathan I. Maletic},
title = {An Information Retrieval Approach to Concept Location in Source Code},
journal ={Reverse Engineering, Working Conference on},
volume = {0},
year = {2004},
issn = {1095-1350},
pages = {214-223},
doi = {http://doi.ieeecomputersociety.org/10.1109/WCRE.2004.10},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Reverse Engineering, Working Conference on
TI - An Information Retrieval Approach to Concept Location in Source Code
SN - 1095-1350
SP214
EP223
A1 - Andrian Marcus,
A1 - Andrey Sergeyev,
A1 - V?clav Rajlich,
A1 - Jonathan I. Maletic,
PY - 2004
KW - null
VL - 0
JA - Reverse Engineering, Working Conference on
ER -
 
Andrian Marcus, Wayne State University
Andrey Sergeyev, Wayne State University
V?clav Rajlich, Wayne State University
Jonathan I. Maletic, Kent State University

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.

Citation:
Andrian Marcus, Andrey Sergeyev, V?clav Rajlich, Jonathan I. Maletic, "An Information Retrieval Approach to Concept Location in Source Code," wcre, pp.214-223, 11th Working Conference on Reverse Engineering (WCRE 2004), 2004
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