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Test-Driven Multi-Task Learning with Functionally Equivalen..:

, In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering,

Wang, Xin ; Liu, Xiao ; Zhou, Pingyi... - p. 1-6 , 2022

Link: https://dl.acm.org/doi/10.1145/3551349.3559549

RT 
T1 <cTitle>Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering</cTitle>: T1 <Title>Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3559549&Exemplar=1&LAN=DE
				
A1 Wang, Xin
A1 Liu, Xiao
A1 Zhou, Pingyi
A1 Liu, Qixia
A1 Liu, Jin
A1 Wu, Hao
A1 Cui, Xiaohui
PB ACM
YR 2022
K1 Code Transformation
K1 Execution Feedback
K1 Multi-Task Learning
K1 Neural Code Generation
K1 Program Analysis
K1 Computing methodologies
K1 Software and its engineering
K1 Machine learning
K1 Software notations and tools
K1 Software creation and management
K1 Machine learning approaches
K1 Software verification and validation
K1 Search-based software engineering
K1 Software defect analysis
K1 Software testing and debugging
SP 1
OP 6
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3551349.3559549
DO https://dl.acm.org/doi/10.1145/3551349.3559549
SF ELIB - SuUB Bremen

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