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1 Ergebnisse
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Power of LSTM and SHAP in the Use Case Point Approach for S..:
, In:
2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)
,
Rankovic, Nevena
;
Rankovic, Dragica
- p. 000059-000064 , 2024
Link:
https://doi.org/10.1109/SAMI60510.2024.10432878
RT T1 <cTitle>2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)</cTitle>: T1 <Title>Power of LSTM and SHAP in the Use Case Point Approach for Software Effort and Cost Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10432878&Exemplar=1&LAN=DE A1 Rankovic, Nevena A1 Rankovic, Dragica YR 2024 SN 2767-9438 K1 Machine learning algorithms K1 Recurrent neural networks K1 Costs K1 Software algorithms K1 Estimation K1 Software K1 Software engineering K1 software estimation K1 Use Case Points (UCP) K1 Machine Learning (ML) K1 Recurrent neural Networks (RNNs) K1 data augmentation K1 SHAP SP 000059 OP 000064 LK http://dx.doi.org/https://doi.org/10.1109/SAMI60510.2024.10432878 DO https://doi.org/10.1109/SAMI60510.2024.10432878 SF ELIB - SuUB Bremen
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