A Probabilistic Neural Network-Based Approach for Related Software Changes Detection-Reference-Cited by-同舟云学术

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A Probabilistic Neural Network-Based Approach for Related Software Changes Detection

Published:2014-12 Issue: Volume: Page:
ISSN:
Container-title:2014 21st Asia-Pacific Software Engineering Conference
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Author:

Huang Yuan,Chen Xiangping,Zou Qiwen,Luo Xiaonan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7090773/7091273/07091321.pdf?arnumber=7091321

Cited by 11 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. Towards automatically identifying the co‐change of production and test code;Software Testing, Verification and Reliability;2024-01-11

2. SyntaxLineDP: a Line-level Software Defect Prediction Model based on Extended Syntax Information;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

3. A systematic mapping study on the employment of neural networks on software engineering projects: Where to go next?;Journal of Software: Evolution and Process;2021-11-02

4. Learning Human-Written Commit Messages to Document Code Changes;Journal of Computer Science and Technology;2020-11

5. Learning Code Context Information to Predict Comment Locations;IEEE Transactions on Reliability;2020-03

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