What's the Code? Automatic Classification of Source Code Archives

by: Secil Ugurel, Robert Krovetz, Lee C Giles, David M Pennock, Eric J Glover, Hongyuan Zha

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Abstract

There are various source code archives on the World Wide Web. These archives are usually organized by application categories and programming languages. However, manually organizing source code repositories is not a trivial task since they grow rapidly and are very large (on the order of terabytes). We demonstrate machine learning methods for automatic classification of archived source code into eleven application topics and ten programming languages. For topical classification, we concentrate...

@misc{citeulike:758386, abstract = {There are various source code archives on the World Wide Web. These archives are usually organized by application categories and programming languages. However, manually organizing source code repositories is not a trivial task since they grow rapidly and are very large (on the order of terabytes). We demonstrate machine learning methods for automatic classification of archived source code into eleven application topics and ten programming languages. For topical classification, we concentrate...}, author = {Ugurel, Secil and Krovetz, Robert and Giles, Lee C. and Pennock, David M. and Glover, Eric J. and Zha, Hongyuan }, citeulike-article-id = {758386}, keywords = {classification, code}, posted-at = {2006-07-28 01:16:01}, priority = {2}, title = {What's the Code? Automatic Classification of Source Code Archives}, url = {http://citeseer.ist.psu.edu/561968.html} }

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TY - GEN ID - citeulike:758386 L3 - citeulike-article-id:758386 TI - What's the Code? Automatic Classification of Source Code Archives N2 - There are various source code archives on the World Wide Web. These archives are usually organized by application categories and programming languages. However, manually organizing source code repositories is not a trivial task since they grow rapidly and are very large (on the order of terabytes). We demonstrate machine learning methods for automatic classification of archived source code into eleven application topics and ten programming languages. For topical classification, we concentrate... KW - classification KW - code AU - Ugurel, Secil AU - Krovetz, Robert AU - Giles, Lee AU - Pennock, David AU - Glover, Eric AU - Zha, Hongyuan UR - http://citeseer.ist.psu.edu/561968.html ER -

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