Towards Efficient Record and Replay: A Case Study in WeChat

Author:

Feng Sidong1,Lu Haochuan2,Xiong Ting2,Deng Yuetang2,Chen Chunyang1

Affiliation:

1. Monash University, Melbourne, Australia

2. Tencent, Guangzhou, China

Publisher

ACM

Reference72 articles.

1. 2022. Appium. http://appium.io/ 2022. Appium. http://appium.io/

2. 2022. Culebra. https://github.com/dtmilano/AndroidViewClient/wiki/culebra 2022. Culebra. https://github.com/dtmilano/AndroidViewClient/wiki/culebra

3. 2022. Rendering - Android Developers. https://developer.android.com/topic/performance/rendering 2022. Rendering - Android Developers. https://developer.android.com/topic/performance/rendering

4. 2022. Selenium. https://www.selenium.dev/ 2022. Selenium. https://www.selenium.dev/

5. 2022. UI Automator. https://developer.android.com/training/testing/other-components/ui-automator 2022. UI Automator. https://developer.android.com/training/testing/other-components/ui-automator

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. MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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