Holistic combination of structural and textual code information for context based API recommendation

• Main Authors: CHEN, Chi, PENG, Xin, XING, Zhengchang, SUN, Jun, WANG, Xin, ZHAO, Yifan, ZHAO, Wenyun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Semantics; Deep Learning; Data Models; Context Modeling; Computational Modeling; Task Analysis; Token Networks; API; Recommendation; Data Flow; Control Flow; Text; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6714; https://ink.library.smu.edu.sg/context/sis_research/article/7717/viewcontent/09409670.pdf
• Institution: Singapore Management University

Context based API recommendation is an important way to help developers find the needed APIs effectively and efficiently. For effective API recommendation, we need not only a joint view of both structural and textual code information, but also a holistic view of correlated API usage in control and d...