Are the code snippets what we are searching for? A benchmark and an empirical study on code search with natural-language queries

• Main Authors: YAN, Shuhan, YU, Hang, CHEN, Yuting, SHEN, Beijun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: natural-language code search; benchmarking; empirical study; information retrieval; machine learning; deep learning; word embedding; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5975; https://ink.library.smu.edu.sg/context/sis_research/article/6978/viewcontent/saner20cosbench.pdf
• Institution: Singapore Management University

Code search methods, especially those that allow programmers to raise queries in a natural language, plays an important role in software development. It helps to improve programmers' productivity by returning sample code snippets from the Internet and/or source-code repositories for their natur...