%0 Conference Paper %1 marcus04wcre %A Marcus, A. %A Sergeyev, A. %A Rajlich, V. %A Maletic, J.I. %B Working Conference on Reverse Engineering %D 2004 %K concept msr nlp software %P 214-223 %T An information retrieval approach to concept location in source code %U http://dx.doi.org/10.1109/WCRE.2004.10 %X 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 work 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.

@inproceedings{marcus04wcre, 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 work 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.}, added-at = {2008-10-31T20:18:57.000+0100}, author = {Marcus, A. and Sergeyev, A. and Rajlich, V. and Maletic, J.I.}, biburl = {https://www.bibsonomy.org/bibtex/2e98e4ba97c56fbb00b285bc46cd19432/neilernst}, booktitle = {Working Conference on Reverse Engineering}, interhash = {1711becee2dfb7b2faed2b37806cdb45}, intrahash = {e98e4ba97c56fbb00b285bc46cd19432}, issn = {1095-1350}, keywords = {concept msr nlp software}, month = Nov, pages = { 214-223}, timestamp = {2009-03-01T23:45:20.000+0100}, title = {An information retrieval approach to concept location in source code}, url = {http://dx.doi.org/10.1109/WCRE.2004.10}, year = 2004 }