On the sustainability of deep learning projects: Maintainers' perspective

• Main Authors: HAN, Junxiao, LIU, Jiakun, LO, David, ZHI, Chen, CHEN, Yishan, DENG, Shuiguang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: deep learning; maintainers; sustainability; workload; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8481; https://ink.library.smu.edu.sg/context/sis_research/article/9484/viewcontent/DeepLearningProj_Maintainer_sv.pdf
• Institution: Singapore Management University

Deep learning (DL) techniques have grown in leaps and bounds in both academia and industry over the past few years. Despite the growth of DL projects, there has been little study on how DL projects evolve, whether maintainers in this domain encounter a dramatic increase in workload and whether or no...