GraphSearchNet: Enhancing GNNs via capturing global dependencies for semantic code search

• Main Authors: LIU, Shangqing, XIE, Xiaofei, SIOW, Jjingkai, MA, Lei, MENG, Guozhu, LIU, Yang
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2023
• 主題: Code Search; Codes; Graph Neural Networks; Message passing; Multi-Head Attention; Natural languages; Semantics; Software; Source coding; Task analysis; Databases and Information Systems; Numerical Analysis and Computation; Software Engineering
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/7767; https://ink.library.smu.edu.sg/context/sis_research/article/8770/viewcontent/GraphSearchNet_av.pdf

Code search aims to retrieve accurate code snippets based on a natural language query to improve software productivity and quality. With the massive amount of available programs such as (on GitHub or Stack Overflow), identifying and localizing the precise code is critical for the software developers...