A study of variable-role-based feature enrichment in neural models of code

• Main Authors: HUSSAIN, Aftab., RABIN, Md. Rafiqul Islam., XU, Bowen., LO, David, ALIPOUR, Mohammad Amin.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: neural models of code; feature engineering; unsuperivsed feature enrichment approach; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8564; https://ink.library.smu.edu.sg/context/sis_research/article/9567/viewcontent/2303.04942__1_.pdf
• Institution: Singapore Management University

Although deep neural models substantially reduce the overhead of feature engineering, the features readily available in the inputs might significantly impact training cost and the performance of the models. In this paper, we explore the impact of an unsuperivsed feature enrichment approach based on...