Automatic query reformulation for code search using crowdsourced knowledge

• Main Authors: RAHMAN, Mohammad M., ROY, Chanchal K., LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Code search; Keyword-API association; Crowdsourced knowledge; Stack Overflow; Query reformulation; Programming Languages and Compilers; Software Engineering
• Online Access: 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
• Institution: Singapore Management University

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...