Learning to rank code examples for code search engines-Reference-Cited by-同舟云学术

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Learning to rank code examples for code search engines

Published:2016-01-21 Issue:1 Volume:22 Page:259-291
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Niu Haoran,Keivanloo Iman,Zou Ying

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

http://link.springer.com/article/10.1007/s10664-015-9421-5/fulltext.html

Reference62 articles.

1. Bailey P, Thomas P, Hawking D (2007) Does brandname influence percerived search result quality? yahoo!, google, and webkumara, Proceedings of ADCS

2. Bajracharya S, Ngo T, Linstead E, Rigor P, Dou Y, Baldi P, Lopes C (2006) Sourcerer: A search engine for open source code supporting structure-based search. In: Proceedings of International Conference on Object-Oriented Programming Systems, Systems, Languages, and Applications

3. Bajracharya SK, Ossher J, Lopes CV (2010) Leveraging usages similarity for effective retrieval of examples in code repositories. In: Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering, pp 157–166

4. Binkley D, Lawrie D (2014) Learning to rank improves ir in se. In: Proceedings of 2014 IEEE International Conference on Software Maintenance and Evolution

5. Brandt J, Guo P, Lewenstein J, Dontcheva M, Klemmer S (2009) Two studies of opportunistic programming: interleaving web foraging, learning, and writing code. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp 1589–1598

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