Humanoid: A Deep Learning-Based Approach to Automated Black-box Android App Testing-Reference-Cited by-同舟云学术

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Humanoid: A Deep Learning-Based Approach to Automated Black-box Android App Testing

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)
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Author:

Li Yuanchun,Yang Ziyue,Guo Yao,Chen Xiangqun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8949433/8952167/08952324.pdf?arnumber=8952324

Cited by 114 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. CamDroid: Context-Aware Model-Based Automated GUI Testing for Android Apps;Tsinghua Science and Technology;2025-02

2. Synthesis-Based Enhancement for GUI Test Case Migration;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

3. Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events;IEEE Transactions on Software Engineering;2024-08

4. Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules;Proceedings of the ACM on Software Engineering;2024-07-12

5. Neat: Mobile App Layout Similarity Comparison Based on Graph Convolutional Networks;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

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