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Feature-oriented modularization of deep learning APIs:
, In:
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
,
Shi, Yechuan
;
Kienzle, Jörg
;
Guo, Jin L. C.
- p. 367-374 , 2022
Link:
https://dl.acm.org/doi/10.1145/3550356.3561575
RT T1
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
: T1
Feature-oriented modularization of deep learning APIs
UL https://suche.suub.uni-bremen.de/peid=acm-3561575&Exemplar=1&LAN=DE A1 Shi, Yechuan A1 Kienzle, Jörg A1 Guo, Jin L. C. PB ACM YR 2022 K1 API generation K1 DL4J K1 concern-oriented reuse K1 feature interaction K1 Software and its engineering K1 Software organization and properties K1 Software system structures K1 Abstraction, modeling and modularity K1 Software system models K1 Feature interaction K1 Software creation and management K1 Software development techniques K1 Reusability K1 Software product lines K1 Model-driven software engineering SP 367 OP 374 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3550356.3561575 DO https://dl.acm.org/doi/10.1145/3550356.3561575 SF ELIB - SuUB Bremen
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