On the generalizability of Neural Program Models with respect to semantic-preserving program transformations

• Main Authors: RABIN, Md Rafiqul Islam, BUI, Nghi D. Q., WANG, Ke, YU, Yijun, JIANG, Lingxiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Code representation; Generalizability; Model evaluation; Neural models; Program transformation; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6044; https://ink.library.smu.edu.sg/context/sis_research/article/7047/viewcontent/IST20generalizability.pdf
• Institution: Singapore Management University

Context: With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as predicting method names in given programs that cannot be easily done by traditional program analysis techniques. Al...