DEAR

Author:

Li Yi1,Wang Shaohua1,Nguyen Tien N.2

Affiliation:

1. New Jersey Inst. of Technology

2. University of Texas at Dallas

Funder

National Science Foundation

National Security Agency

Publisher

ACM

Reference45 articles.

1. 2019. The Defects4J Data Set. https://github.com/rjust/defects4j 2019. The Defects4J Data Set. https://github.com/rjust/defects4j

2. 2021. DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. https://github.com/AutomatedProgramRepair-2021/dear-auto-fix 2021. DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. https://github.com/AutomatedProgramRepair-2021/dear-auto-fix

3. An Evaluation of Similarity Coefficients for Software Fault Localization

4. Nghi D. Q. Bui , Yijun Yu , and Lingxiao Jiang . 2021 . TreeCaps: Tree-Based Capsule Networks for Source Code Processing. Proceedings of the AAAI Conference on Artificial Intelligence 35 , 1 (May 2021), 30--38. https://ojs.aaai.org/index.php/AAAI/article/view/16074 Nghi D. Q. Bui, Yijun Yu, and Lingxiao Jiang. 2021. TreeCaps: Tree-Based Capsule Networks for Source Code Processing. Proceedings of the AAAI Conference on Artificial Intelligence 35, 1 (May 2021), 30--38. https://ojs.aaai.org/index.php/AAAI/article/view/16074

5. CODIT: Code Editing with Tree-Based Neural Models

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3. A Survey of Learning-based Automated Program Repair;ACM Transactions on Software Engineering and Methodology;2023-12-23

4. APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities;Empirical Software Engineering;2023-12-06

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