A Literature Review on Automated Code Repair-Reference-Cited by-同舟云学术

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A Literature Review on Automated Code Repair

Published:2022 Issue: Volume: Page:249-260
ISSN:2367-3370
Container-title:Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
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Author:

Mamatha T.,Reddy B. Rama Subba,Bindu C. Shoba

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6407-6_23

Reference32 articles.

1. Demarco F, Xuan J, Le Berre D, Monperrus M (2014) Automatic repair of BuggyIf conditions and missing preconditions with SMT”. In: Proceedings of the 6th international workshop on constraints in software testing, verification, and analysis (CSTVA 2014), Hyderabad, India

2. Chen C, Wang N (2016) A fault localization tool integrated with unit test. In: 2016 5th International conference on computer science and network technology (ICCSNT), 10–11 Dec 2016

3. Gupta R, Pal S, Kanade A, Shevade S (2017) Deep fix: fixing common C language errors by deep learning. In: AAAI, pp 1345–1351

4. Kim M, Petersen A (2005) An evaluation of daikon: a dynamic invariant detector

5. Gao Z, Chen Z, Zou Y, Memon A (2015) SITAR: GUI test script repair. IEEE Trans Softw Eng 42(2)

Cited by 1 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. Leveraging Causal Inference for Explainable Automatic Program Repair;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

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