Chao Peng
Chao Peng
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Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning
Android Apps are frequently updated to keep up with changing user, hardware, and business demands. Ensuring the correctness of App …
Chao Peng
,
Zhengwei Lv
,
Jiarong Fu
,
Jiayuan Liang
,
Zhao Zhang
,
Ajitha Rajan
,
Ping Yang
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AG3: Automated Game GUI Text Glitch Detection based on Computer Vision
With the advancement of device software and hardware performance, and the evolution of game engines, an increasing number of emerging …
Xiaoyun Liang
,
Jiayi Qi
,
Yongqiang Gao
,
Chao Peng
,
Ping Yang
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DOI
Fastbot2: Reusable Automated Model-based GUI Testing for Android Enhanced by Reinforcement Learning
In the industrial setting, mobile apps undergo frequent updates to catch up with the changing real-world requirements. It leads to the …
Zhengwei Lv
,
Chao Peng
,
Zhao Zhang
,
Ting Su
,
Kai Liu
,
Ping Yang
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Project
DOI
MUBot: Learning to Test Large-Scale Commercial Android Apps like a Human
Automated GUI testing has been playing a key role to uncover crashes to ensure the stability and robustness of Android apps. Recent …
Chao Peng
,
Zhao Zhang
,
Zhengwei Lv
,
Ping Yang
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DOI
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