A controlled experiment of different code representations for learning-based program repair-Reference-Cited by-同舟云学术

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A controlled experiment of different code representations for learning-based program repair

Published:2022-10-03 Issue:7 Volume:27 Page:
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Namavar Marjane^ORCID,Nashid Noor,Mesbah Ali

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10664-022-10223-5.pdf

Reference109 articles.

1. Ahmed T, Devanbu P, Hellendoorn VJ (2021) Learning lenient parsing & typing via indirect supervision. Empirical Software Engineering 26(2)

2. Allamanis M (2019) The adverse effects of code duplication in machine learning models of code. In: ACM SIGPLAN international symposium on new ideas, new paradigms, and reflections on programming and software, Onward! 2019, pp 143–153. Association for Computing Machinery

3. Allamanis M, Barr ET, Bird C, Sutton C (2015) Suggesting accurate method and class names. In: 10th Joint meeting on foundations of software engineering, ESEC/FSE 2015, pp 38–49. Association for Computing Machinery

4. Andrews JH, Briand LC, Labiche Y (2005) Is mutation an appropriate tool for testing experiments?. In: 27th International conference on software engineering, pp 402–411. Association for Computing Machinery

5. Bader J, Scott A, Pradel M, Chandra S (2019) Getafix: learning to fix bugs automatically. Proc. ACM Program. Lang 3(OOPSLA)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Encoding Version History Context for Better Code Representation;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15

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

3. Katana : Dual Slicing Based Context for Learning Bug Fixes;ACM Transactions on Software Engineering and Methodology;2023-05-27

4. An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair;2023 IEEE/ACM International Workshop on Automated Program Repair (APR);2023-05

5. Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

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