Active Code Search: Incorporating User Feedback to Improve Code Search Relevance

• Main Authors: Wang, Shaowei, LO, David, JIANG, Lingxiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Code Search; User Feedback; Active Learning; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2424; https://ink.library.smu.edu.sg/context/sis_research/article/3424/viewcontent/p677_wang.pdf
• Institution: Singapore Management University

Code search techniques return relevant code fragments given a user query. They typically work in a passive mode: given a user query, a static list of code fragments sorted by the relevance scores decided by a code search technique is returned to the user. A user will go through the sorted list of re...