Cross-project defect prediction via ASTToken2Vec and BLSTM-based neural network

• Main Authors: LI, Hao, LI, Xiaohong, CHEN, Xiang, XIE, Xiaofei, MU, Yanzhou, FENG, Zhiyong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7094
• Institution: Singapore Management University

Cross-project defect prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. In this paper, we propose a novel CPDP approach via deep learning. In particular, we model each program module via simplified abstract syntax tree (S-AST)....