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An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks

机译：深度学习框架中不同类型技术债务的引入与去除探讨

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Jiakun Liu; Qiao Huang; Xin Xia; Emad Shihab; David Lo; Shanping Li;
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年度 2021
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1. An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks [J] . Liu Jiakun, Huang Qiao, Xia Xin, Empirical Software Engineering . 2021,第2期

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3. An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal [J] . Martina Iammarino, Fiorella Zampetti, Lerina Aversano, The Journal of Systems and Software . 2021,第Auga期

机译：重构行动与自录技术债务的共同发生实证研究
4. Is Using Deep Learning Frameworks Free? Characterizing Technical Debt in Deep Learning Frameworks [C] . Jiakun Liu, Qiao Huang, Xin Xia, IEEE/ACM International Conference on Software Engineering: Software Engineering in Society . 2020

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5. An Empirical Study on Discovering a New Self-Admitted Technical Debt Type - API-Debt [D] . Aljohani, Ahmed. 2019

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6. Technical Anatomical and Functional Study after Removal of a Symptomatic Cavernous Angioma Located in Deep Wernickes Territories with Cortico-Subcortical Awake Mapping [O] . Silvio Sarubbo, Gianpaolo Basso, Franco Chioffi, 2013

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7. Automatically Learning Patterns for Self-Admitted Technical Debt Removal [O] . Fiorella Zampetti, Alexander Serebrenik, Massimiliano Di Penta 2020

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An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks

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