PatchNet: A tool for deep patch classification

• Main Authors: HOANG, Thong, LAWALL, Julia, OENTARYO, Richard J., TIAN, Yuan, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Deep learning; Patch classification; Stable patch identification; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4527; https://ink.library.smu.edu.sg/context/sis_research/article/5530/viewcontent/PatchNet_Tool_2019_isce_av.pdf
• Institution: Singapore Management University

This work proposes PatchNet, an automated tool based on hierarchical deep learning for classifying patches by extracting features from commit messages and code changes. PatchNet contains a deep hierarchical structure that mirrors the hierarchical and sequential structure of a code change, differenti...