Black-box tool that uses Deep Reinforcement Learning to test and explore Android applications
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Updated
Sep 28, 2023 - Python
Black-box tool that uses Deep Reinforcement Learning to test and explore Android applications
有关自动化测试的一套框架,通过pytest实现ui、app、api、h5的测试脚本执行及管理,并生成测试报告。如果喜欢麻烦给个star
Install apps in Real Devices using Custom App ID on LambdaTest using the Appium Python Behave Framework.
Install apps in Real Devices using Custom App ID on LambdaTest using the Appium Python Framework.
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A sample repo to help you change IP geographic location in Python with Appium on LambdaTest.
A sample on how to mark the test as Passed or Failed in Python Behave with Appium on LambdaTest.
A sample repo to help you change IP geographic location in Python with Appium on LambdaTest.
Close/Open the app during a session in Real Devices on LambdaTest using the Appium Python Behave Framework.
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A sample repo to help you Handle your permission pop-ups with LambdaTest.
A sample repo to help you Handle your permission pop-ups in Behave with LambdaTest.
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A sample on how to mark the test as Passed or Failed in Python with Appium on LambdaTest.
收集数据并预测股市行情的整合式自动化爬虫工具 An integrated automated web scraping tool to collect data and predict stock market trends
Testing Super Cook App
"Mobile Automation Testing Framework using Python & Appium" - A project structure following the Page Object Model (POM) designed for automated mobile app testing. Features include logging, HTML reporting, screenshot capture, data-driven testing, and Jenkins integration.
OpenAI Gym Reinforcement learning based android application testing tool, implemented with Appium which extracts android GUI components and actions are chosen based on the Q Table.
This the project for Appium, Python and Pytest. ctreport-selenium is used for reporting. Basically it is hybrid framework. POM and Data driven testing has been followed.
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