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This guide walks through setting up Appium with the UiAutomator2 driver, verifying the environment, writing a Python script that connects to the Appium server, using weditor or uiautomatorviewer to inspect Android UI elements, and applying ID or XPath locators to automate clicks in the Zepp app.
This article demonstrates how to set up a Python environment with Appium, install necessary tools, connect an Android device, and implement a script that automatically reads incoming QQ messages and replies with predefined responses, providing step‑by‑step instructions and sample code for mobile automation.
The Mobile-Agent paper presents a vision‑only, autonomous multi‑modal AI system that can interpret user commands, locate UI elements on a smartphone screen, and execute complex tasks such as browsing, commenting, and content creation through a defined operation space, self‑planning, and self‑reflection mechanisms, achieving high success rates across diverse Chinese and English scenarios.
Poco2 is an open-source Python-based mobile automation testing framework that simplifies UI interaction and validation for Android/iOS apps, demonstrated through a complete e-commerce purchase flow test script covering login, browsing, cart, payment, return, refund, and logout.
This article describes how a mobile development team adopted the ATX automation framework with Python, employing Page Object Model, data‑driven and keyword‑driven techniques to replace manual regression testing, integrate firmware interaction, and streamline test execution and reporting.
This article presents the design, technical selection, and system architecture of an automated IM entry inspection tool built with AutoJs for Android, detailing script stability strategies, dynamic script distribution, JSON and image comparison methods, and the achieved benefits and future enhancements for mobile app monitoring.
This guide demonstrates how to use Appium for automated testing of HarmonyOS applications, covering device connection setup, .hap package installation via HDC, element location strategies, handling logs, and compatibility considerations, providing code examples for developers familiar with Android automation.
This tutorial explains how to set up Python, mitmproxy, and Appium on Windows to automatically capture Douyin video URLs, download the videos, and automate scrolling on an Android device, providing a complete end‑to‑end solution for mobile video scraping.
iQIYI’s iOS stability testing platform combines a three‑layer cloud device farm architecture with both random monkey and AI‑enhanced element‑traversal event generation, uses screenshot fingerprinting and OCR to mitigate runtime pop‑ups, and achieves roughly 30 % higher page coverage while detecting hundreds of crashes in production.
The APP DIFF automated testing solution, presented at iQIYI’s i Technology Conference, combines deep‑link navigation, mock data services, and the AUI image‑diff algorithm within the Uiautomator2 framework to stabilize UI automation, cut execution time, achieve near‑human verification quality, and deliver significant coverage and cost savings across iQIYI mobile products.
This article describes how a mobile UI test framework was extended with Python scripts, configuration files, and an Enterprise WeChat robot to automate AB‑test validation across Android and iOS, reducing manual effort and improving efficiency by more than 50 percent.
The article describes how a three‑layer, cross‑platform mobile automation framework was designed and implemented for the Youku app, integrating driver, encapsulation, and test‑case layers with utilities, logging, image‑recognition and platform reporting to streamline regression testing, cut labor costs, and guide future enhancements.
This article introduces Appium, an open‑source cross‑platform mobile automation tool, and provides a step‑by‑step guide to set up the Android development environment, install the Appium server (both CLI and desktop), and configure Python with the Appium‑Python client, including necessary code snippets.
This article introduces Appium's basic element locating techniques—including id, name, class name, XPath, UIAutomator, and relative coordinates—explains how to handle non‑unique elements through iteration or OCR, and demonstrates image‑based locating with OpenCV and screenshot code examples.
This article introduces Maxim, a monkey‑based Android stress‑testing tool that supports fine‑grained scenario control, multi‑device parallel execution, blacklist/whitelist configuration, and special event handling, and provides step‑by‑step instructions with screenshots for practical use.
This article presents a cost‑effective solution for automating H5 page testing on real mobile devices with Appium, covering fast regression, cross‑device compatibility, online monitoring, a modular framework, visual data management, reporting, and future machine‑learning enhancements.
This guide explains how to capture HTTPS traffic from an iOS app with Fiddler, configure the device proxy and certificates, and then recreate the login and query requests in JMeter to build automated API test cases, including token extraction and response validation.
This article presents a lightweight, low‑cost solution that leverages Appium to automate H5 page testing across multiple mobile devices and apps, enabling fast regression, cross‑device compatibility checks, and online monitoring while minimizing maintenance effort.
The article introduces Soloπ, Alipay's comprehensive wireless and non‑intrusive Android testing framework that enables root‑free functional, performance, compatibility, and stability testing on mobile devices through wireless ADB, record‑playback, multi‑device control, and integrated performance tools such as mobile Lighthouse.
This article provides a comprehensive overview of Android UiAutomator 2.0, detailing its major features, migration differences from UiAutomator 1.0, important considerations, Gradle integration steps, test case creation and execution, as well as the UiDevice API and new UiObject2 capabilities for mobile UI automation.