Automatic query reformulation for code search using crowdsourced knowledge
Traditional code search engines (e.g., Krugle) often do not perform well with natural language queries. They mostly apply keyword matching between query and source code. Hence, they need carefully designed queries containing references to relevant APIs for the code search. Unfortunately, preparing a...
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| Main Authors: | , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2019
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| 主題: | |
| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/4323 https://ink.library.smu.edu.sg/context/sis_research/article/5326/viewcontent/Rahman2019_Article_AutomaticQueryReformulationFor_1_.pdf |
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