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1 Ergebnisse
1
Aspect-Based API Review Classification: How Far Can Pre-Tra..:
, In:
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
,
Yang, Chengran
;
Xu, Bowen
;
Khan, Junaed Younus
... - p. 385-395 , 2022
Link:
https://doi.org/10.1109/SANER53432.2022.00054
RT T1 <cTitle>2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</cTitle>: T1 <Title>Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9825884&Exemplar=1&LAN=DE A1 Yang, Chengran A1 Xu, Bowen A1 Khan, Junaed Younus A1 Uddin, Gias A1 Han, Donggyun A1 Yang, Zhou A1 Lo, David YR 2022 K1 Software libraries K1 Machine learning algorithms K1 Bit error rate K1 Natural languages K1 Transformers K1 Software K1 Data models K1 software mining K1 natural language processing K1 multi-label classification K1 pre-trained models SP 385 OP 395 LK http://dx.doi.org/https://doi.org/10.1109/SANER53432.2022.00054 DO https://doi.org/10.1109/SANER53432.2022.00054 SF ELIB - SuUB Bremen
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