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Infrastructure for Building Code Search Applications for Developers

  • Sushil Krishna BajracharyaEmail author

Abstract

The large availability of open source code on the Web provides great opportunities to build useful code search applications for developers. Building such applications requires addressing several challenges inherent in collecting and analyzing code from open source repositories to make them available for search. An infrastructure that supports collection, analysis, and search services for open source code available on the Web can greatly facilitate building effective code search applications. This chapter presents such an infrastructure called Sourcerer that facilitates collection, analysis, and search of source code available in code repositories on the Web. This chapter provides useful information to researchers and implementors of code search applications interested in harnessing the large availability of source code in the repositories on the Web. In particular, this chapter highlights key aspects of Sourcerer that supports combining Software Engineering and Information Retrieval techniques to build effective code search applications.

Keywords

Source Code Retrieval Scheme Open Source Project Code Snippet Code Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The author would like to thank Joel Ossher, Otavio Lemos, Trung Ngo, Huy Hunh, Paul Rigor, and Erik Linsted for their contributions to the Sourcerer infrastructure. The author would like to thank Cristina Lopes and Pierre Baldi for their advice and support in making Sourcerer successful.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Black Duck SoftwareBurlingtonUSA

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