Abstract
Programmers often look for a “snippet,” that is, a small piece of example code, to remind themselves of how to solve a problem or to quickly learn about a new resource. However, existing tools such as general-purpose search engines and code-specific search engines do not deal well with searches for snippets. In this chapter, we present a prototype search engine designed to work with code snippets. Our approach is based on using the non-code text on a web page as metadata for the snippet to improve indexing and retrieval. We discuss some implementation issues that we encountered, which lead to lessons learned for others who follow. These issues include: extracting snippets from web pages, selecting and indexing metadata, matching query terms with multiple metadata indexes, and identifying a text summary to be used in the presentations of results.
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Acknowledgements
This material is based upon work supported by the NSF under Grant No. IIS-0846034 and by the UCI Summer Undergraduate Research Program. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessary reflect the views of the NSF.
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Tantikul, P., Thompson, C.A., Gallardo-Valencia, R.E., Sim, S.E. (2013). Novel and Applied Algorithms in a Search Engine for Java Code Snippets. In: Sim, S.E., Gallardo-Valencia, R.E. (eds) Finding Source Code on the Web for Remix and Reuse. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6596-6_14
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