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In source code search, a common information-seeking strategy involvesproviding a short initial query with a broad meaning, and then iterativelyrefining the query using terms gleaned from the results of subsequent searches.This strategy requires programmers to spend time reading search results thatare irrelevant to their development needs. In contrast, when programmers seekinformation from other humans, they typically refine queries by asking andanswering clarifying questions. Clarifying questions have been shown to benefitgeneral-purpose search engines, but have not been examined in the context ofcode search. We present a method for generating natural-sounding clarifyingquestions using information extracted from function names and comments. Ourmethod outperformed a keyword-based method for single-turn refinement insynthetic studies, and was associated with shorter search duration in humanstudies.

Generating Clarifying Questions for Query Refinement in Source Code Search