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

• المؤلفون الرئيسيون: LIU, Shangqing, XIE, Xiaofei, SIOW, Jjingkai, MA, Lei, MENG, Guozhu, LIU, Yang
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: 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
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/7767; https://ink.library.smu.edu.sg/context/sis_research/article/8770/viewcontent/GraphSearchNet_av.pdf
• المؤسسة: Singapore Management University

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...