CodeS: Towards code model generalization under distribution shift

• Main Authors: HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, TRAON, Yves Le
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Benchmark datasets; Concrete syntax; Driving forces; Large scale source; Learning models; Model generalization; Source code analysis; Source code learning; distribution shift; Source codes; Time-stamp; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8244
• Institution: Singapore Management University

Distribution shift has been a longstanding challenge for the reliable deployment of deep learning (DL) models due to unexpected accuracy degradation. Although DL has been becoming a driving force for large-scale source code analysis in the big code era, limited progress has been made on distribution...