An empirical study of deep transfer learning-based program repair for Kotlin projects-Reference-Cited by-同舟云学术

An empirical study of deep transfer learning-based program repair for Kotlin projects

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Kim Misoo¹,Kim Youngkyoung¹,Jeong Hohyeon¹,Heo Jinseok¹,Kim Sungoh²,Chung Hyunhee²,Lee Eunseok¹

Affiliation:

1. Sungkyunkwan University, South Korea

2. Samsung Electronics, South Korea

Funder

Samsung electronics

National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3540250.3558967

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4. Gunnar Applelid. 2021. Evaluating template-based automatic program repair in industry. Gunnar Applelid. 2021. Evaluating template-based automatic program repair in industry.

5. Getafix: learning to fix bugs automatically

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