Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks

Wang, X, Liu, J, Li, L, Chen, X, Liu, Xiao and Wu, H 2020, Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks, in ASE 2020 : Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, IEEE, Piscataway, N.J., pp. 871-882, doi: 10.1145/3324884.3416583.

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Title Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks
Author(s) Wang, X
Liu, J
Li, L
Chen, X
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Wu, H
Conference name Automated Software Engineering. Conference (2020 : 35th : Online from Melbourne, Victoria)
Conference location Online from Melbourne, Victoria
Conference dates 21-25 Sep. 2020
Title of proceedings ASE 2020 : Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
Publication date 2020
Start page 871
End page 882
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Self-Admitted Technical Debt
Word Embedding
Attention-based Neural Networks
SATL
CORE2020 A
ISBN 9781450367684
Language eng
DOI 10.1145/3324884.3416583
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147443

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