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1
An empirical study of deep transfer learning-based program ..:
, In:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
,
Kim, Misoo
;
Kim, Youngkyoung
;
Jeong, Hohyeon
... - p. 1441-1452 , 2022
Link:
https://dl.acm.org/doi/10.1145/3540250.3558967
RT T1 <cTitle>Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering</cTitle>: T1 <Title>An empirical study of deep transfer learning-based program repair for Kotlin projects</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3558967&Exemplar=1&LAN=DE A1 Kim, Misoo A1 Kim, Youngkyoung A1 Jeong, Hohyeon A1 Heo, Jinseok A1 Kim, Sungoh A1 Chung, Hyunhee A1 Lee, Eunseok PB ACM YR 2022 K1 Deep learning-based program repair K1 Empirical study K1 Industrial Kotlin project K1 SonarQube defects K1 Transfer learning K1 Software and its engineering K1 Maintaining software SP 1441 OP 1452 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3540250.3558967 DO https://dl.acm.org/doi/10.1145/3540250.3558967 SF ELIB - SuUB Bremen
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