Leveraging Causal Inference for Explainable Automatic Program Repair-Reference-Cited by-同舟云学术

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Leveraging Causal Inference for Explainable Automatic Program Repair

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Wang Jianzong¹,Si Shijing¹,Zhu Zhitao¹,Qu Xiaoyang¹,Hong Zhenhou¹,Xiao Jing¹

Affiliation:

1. Ping An Technology (Shenzhen) Co., Ltd.,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892168.pdf?arnumber=9892168

Reference40 articles.

1. Pytorch: An imperative style, high-performance deep learning library;paszke;NeurIPS,2019

2. Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions

3. QuixBugs: a multi-lingual program repair benchmark set based on the quixey challenge

4. Defects4J: a database of existing faults to enable controlled testing studies for Java programs

5. EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

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