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Autor:
Guoqiang Zhuang Guoqiang Zhuang, Yubin Qu Guoqiang Zhuang, Long Li Yubin Qu, Xianzhen Dou Long Li, Mengao Li Xianzhen Dou
Publikováno v:
網際網路技術學刊. 23:631-641
Self-Admitted Technical Debt (SATD) is an intentionally introduced software code comment describing potential defects or other technical debt. Currently, deep learning is widely used in fields such as Natural Language Processing. Deep learning can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c1377c4a40ed46a15aa098fa8bde10
https://doi.org/10.53106/160792642022052303021
https://doi.org/10.53106/160792642022052303021
