Is using deep learning frameworks free?: Characterizing technical debt in deep learning frameworks

• Main Authors: LIU, Jiakun, HUANG, Qiao, XIA, Xin, SHIHAB, Emad, LO, David, LI, Shanping
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Software evolution; Maintaining software; self-admitted technical debt; deep learning; categorization; empirical study; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5645; https://ink.library.smu.edu.sg/context/sis_research/article/6648/viewcontent/liu_icse2020.pdf
• Institution: Singapore Management University

Developers of deep learning applications (shortened as application developers) commonly use deep learning frameworks in their projects. However, due to time pressure, market competition, and cost reduction, developers of deep learning frameworks (shortened as framework developers) often have to sacr...