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• W2031874349 abstract "To date, most dedicated code search engines use ranking algorithms that focus only on the relevancy between the query and the results. In practice, this means that a developer may receive search results that are all drawn from the same project, all implement the same algorithm using the same external library, or all exhibit the same complexity or size, among other possibilities that are less than ideal. In this paper, we propose that code search engines should also locate both diverse and concise (brief but complete) sets of code results. We present four novel algorithms that use relevance, diversity, and conciseness in ranking code search results. To evaluate these algorithms and the value of diversity and conciseness in code search, twenty-one professional programmers were asked to compare pairs of top ten results produced by competing algorithms. We found that two of our new algorithms produce top ten results that are strongly preferred by the programmers." @default.
• W2031874349 created "2016-06-24" @default.
• W2031874349 creator A5004777797 @default.
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• W2031874349 date "2015-05-16" @default.
• W2031874349 modified "2023-09-24" @default.
• W2031874349 title "Sameness: an experiment in code search" @default.
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• W2031874349 doi "https://doi.org/10.5555/2820518.2820530" @default.
• W2031874349 hasPublicationYear "2015" @default.
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