Mitigating regression faults induced by feature evolution in deep learning systems

• Main Authors: YU, Hanmo, WANG, Zan, CHEN, Xuyang, CHEN, Junjie, SUN, Jun, LIU, Shuang, DONG, Zishuo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2025
• Subjects: Regression Mitigation; Regression Fault; Deep Learning; Feature Evolution; Fault Mitigation; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/10116; https://ink.library.smu.edu.sg/context/sis_research/article/11116/viewcontent/MigatingRegressionsFaults_pvoa.pdf
• Institution: Singapore Management University

Deep learning (DL) systems have been widely utilized across various domains. However, the evolution of DL systems can result in regression faults. In addition to the evolution of DL systems through the incorporation of new data, feature evolution, such as the addition of new features, is also common...