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Tag recommendation for open source software

Nowadays open source software becomes highly popular and is of great importance for most software engi- neering activities. To facilitate software organization and re- trieval, tagging is extensively used in open source communi- ties. However, finding the desired software through tags in these commu...

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Bibliographic Details
Published in:Frontiers of Computer Science 2014-02, Vol.8 (1), p.69-82
Main Authors: Wang, Tao, Wang, Huaimin, Yin, Gang, Ling, Charles X., Li, Xiao, Zou, Peng
Format: Article
Language:English
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Summary:Nowadays open source software becomes highly popular and is of great importance for most software engi- neering activities. To facilitate software organization and re- trieval, tagging is extensively used in open source communi- ties. However, finding the desired software through tags in these communities such as Freecode and ohloh is still chal- lenging because of tag insufficiency. In this paper, we propose TRG (tag recommendation based on semantic graph), a novel approach to discovering and enriching tags of open source software. Firstly, we propose a semantic graph to model the semantic correlations between tags and the words in software descriptions. Then based on the graph, we design an effec- tive algorithm to recommend tags for software. With com- prehensive experiments on large-scale open source software datasets by comparing with several typical related works, we demonstrate the effectiveness and efficiency of our method in recommending proper tags.
ISSN:2095-2228
2095-2236
DOI:10.1007/s11704-013-2394-x