The article examines the fragility of Selenium/Appium UI automation, introduces a Skill‑driven, natural‑language approach built on Playwright, showcases a concrete "Edit" button case, and presents measured efficiency gains such as up to 90% faster debugging and maintenance.
This guide shows how to quickly set up a Python environment and use AI‑generated prompts to create fully functional test scripts for web login, API order creation, mobile settings navigation, and database verification, complete with installation commands, code snippets, execution steps, and debugging tips.
In large agile teams, over 70% of UI test failures are false positives caused by fragile locators, but a self‑healing approach that combines layered selectors and lightweight visual anchors can reduce monthly maintenance from 24 person‑hours to 1.2, improve CI stability, and deliver a ROI within three months while introducing manageable decision and governance overhead.
This article outlines a practical roadmap for manual testers who want to become automation engineers, covering goal setting, essential programming languages, key automation tools and frameworks, test‑case design strategies, hands‑on project experience, and continuous learning habits.
Zhihu partnered with Huawei to develop and open‑source an Appium driver for HarmonyOS, enabling unified, efficient automated testing across iOS, Android, and HarmonyOS and energizing the open‑source HarmonyOS ecosystem for developers and enterprises.
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.
This guide walks you through installing Appium Desktop, configuring and launching the server, creating a simple Java test for the Android calculator app, exploring multiple element‑locating strategies (ID, class name, XPath, Accessibility ID, UIAutomator), and using the desktop tool’s element inspector and recording features to generate test scripts.
Learn the essential mobile app compatibility testing tools—including Appium, Calabash, Robot Framework, Selendroid, TestFlight, BrowserStack, and more—plus a practical Python unittest example that demonstrates how to verify element presence across devices and OS versions.
This article explains how to perform UI automation testing across various computer screen resolutions using Python, covering compatible frameworks like Selenium and Appium, writing resolution‑agnostic scripts, creating resolution matrices, dynamic resizing, visual verification, and integrating tests into CI pipelines.
This article examines how Shentong, a logistics company, built a comprehensive mobile testing ecosystem—including functional, compatibility, and specialized tests—leveraging automation, a DevOps‑driven packaging pipeline, and a Jenkins‑based framework to dramatically improve testing efficiency and product quality.
This comprehensive guide explains Appium’s cross‑platform architecture, walks through setting up an Android testing environment on macOS, demonstrates a full‑stack test case for an in‑app H5 page, and shares advanced techniques like a WebSocket‑based JS agent and OpenCV image‑recognition for challenging hybrid scenarios.
This guide explains the fundamentals of automation testing, identifies suitable projects, compares common automation types such as web, mobile, and API testing, introduces essential tools like Selenium, Appium, uiautomator2, and JMeter, and provides step‑by‑step code examples to help beginners quickly implement automated tests in real‑world scenarios.
This guide outlines essential cross‑browser testing strategies—including device and browser selection, top UI testing frameworks like Selenium, Appium, and Espresso, automation with parallel execution, cloud‑based labs, AI‑driven tools, and security considerations—to help teams deliver high‑performance web and mobile applications efficiently.
This article provides a concise overview of ten popular free and open‑source test automation frameworks—including Katalon Studio, Selenium, Appium, JMeter, SOAP UI, Robot Framework, Watir, JUnit, Robotium, and Citrus—highlighting their supported languages, platforms, key features, and integration capabilities.
This guide explains why QA engineers should learn to code, outlines five concrete steps—including choosing a language, intensive coding practice, creating a GitHub profile, building a simple test, and continuous learning—to successfully move from manual testing to mobile automation development.
Amid the current tech hiring slowdown, this guide outlines a comprehensive learning roadmap for software testers, covering fundamentals, Linux, shell scripting, web fundamentals, databases, packet‑capture tools, API testing, automation frameworks, mobile testing, TestOps, and performance and security testing to help engineers stay competitive and advance their careers.
This comprehensive guide explores iOS automation frameworks—including UIAutomation, XCTest, KIF, Frank, Calabash‑iOS, Appium, and Airtest—detailing their features, setup steps, element‑location strategies, performance comparisons, multi‑device execution, and practical recommendations for stable and efficient mobile testing.
The article explains how Baidu’s Smart Mini Program, which runs hybrid H5‑Native code in separate Logic and View threads within the Baidu app, cannot be tested with standard tools, so the Smart Mini Program Testing Platform created the smartapp‑automator framework that combines a Selenium‑like engine for in‑process UI control with a unified device‑control API abstracting Android, iOS, Chrome and cloud‑phone automation tools.
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 shows how to combine mitmproxy packet capture and Appium mobile automation in Python to automatically collect and download Douyin video URLs, covering environment setup, code snippets, and practical steps for a fully automated scraper.
This guide walks you through setting up a Windows environment with PyCharm, mitmproxy, and Appium to capture Douyin video URLs, filter them, and download the videos automatically using Python scripts that drive the mobile app and handle network traffic.
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.
This guide explains how to set up and use WEditor for Android and tidevice/Appium for iOS to locate UI elements efficiently, covering prerequisite tools, installation commands, step‑by‑step connection procedures, error handling, and best‑practice strategies for reliable mobile UI automation.
This tutorial explains how to use Charles proxy, Appium automation, and mitmproxy to intercept and extract real‑time hotspot rankings from the Douyin Android app, covering tool installation, proxy configuration, certificate setup, and script execution steps.
This article provides a detailed overview of iOS UI automation testing, covering XCUITest fundamentals, Accessibility considerations, sample Swift code, manual and recorded test case creation, command‑line toolchains, Web Service‑based architecture, and a comparison of Appium and Macaca for building scalable, CI‑integrated mobile testing platforms.
This article provides a detailed overview of iOS UI automation testing, covering XCUITest fundamentals, accessibility considerations, code examples, manual and recorded test case creation, command‑line toolchains, Web Service‑based architecture, and a comparison of Appium and Macaca for building scalable, cross‑platform mobile testing platforms.
This article introduces a cloud‑based mobile testing platform, detailing its architecture, implementation with Spring Boot and Appium, and real‑world applications in compliance verification and online inspection, highlighting how AI integration and automated workflows dramatically improve testing efficiency and product quality.
The article explains how Meituan’s dynamic layout technology, which complicates automated testing, is tackled by XraySDK’s view‑ability transformation that captures layout data via a local HTTP server and custom listeners, boosting dynamic‑card test coverage from zero to over 80% and streamlining future WebView and compatibility testing.
This tutorial explains how to set up Python and Appium on a PC, configure Android SDK and device debugging, and write a Python script that automatically reads and replies to QQ messages on an Android phone.
This step‑by‑step guide shows how to set up Python, Appium, JDK, Android SDK and a screen‑mirroring tool, connect an Android phone, verify the ADB connection, and run a complete Appium script that automatically reads and replies to QQ chats.
The article introduces Appium 2.0, explains its unbundled driver architecture, custom driver templates, special command plugins, and provides installation commands, highlighting how these changes simplify and expand mobile test automation across iOS, Android, and Windows platforms.
This article compares three Windows UI automation frameworks - Appium, Airtest, and Pywinauto - analyzing their principles, deployment environments, supported control properties, advantages, and disadvantages to help developers choose the right tool for their needs.
This article describes the background, challenges, and solution design for building a cross‑platform mobile UI automation framework at QuNar, covering test classification, element locating strategies, the POCO library, Page Object Model, JSON mock handling, and continuous integration with Jenkins to improve testing efficiency and reduce manual effort.
The article explains how to reduce the impact of frequent UI changes on automated testing by using visual testing techniques, introduces the Watcher platform’s SDK, image‑comparison services, real‑time comparison, and various algorithms—including pixel, template, content, and AI‑based matching—to improve test stability and efficiency.
This article explores why mobile app testing is crucial, explains the mobile testing pyramid, details functional, regression, performance, security, usability, and compatibility testing types, compares automation frameworks and tools, and discusses practical challenges such as device fragmentation, network variability, and battery constraints.
This tutorial explains how to use Python, Appium, and OpenCV to automatically perform WeChat’s “punch” (拍一拍) action by locating a friend’s avatar via image recognition and simulating a double‑tap, all within roughly 30 lines of code.
This tutorial explains how to capture and analyze Douyin's hot list data on Android by setting up Charles proxy, installing required certificates, intercepting traffic, and automating the process with Appium and mitmproxy, providing step‑by‑step instructions and key code snippets.
This article explains why UI automation testing is essential for complex mobile apps, why Appium is chosen, how to organize test cases with Cucumber, implement custom steps, locate elements using various strategies, handle common exceptions, and outlines the overall workflow and improvement suggestions.
This article explains why UI automation testing is crucial for complex mobile apps, introduces Appium as a cross‑platform open‑source solution, demonstrates organizing test cases with Cucumber and Page Object patterns, details element locating strategies, custom steps, workflow architecture, and discusses current limitations and improvement plans.
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 step‑by‑step guide shows how to install the Android SDK, configure Java JDK, install Appium, and write Python code to automate the WeChat app on Android devices, including common pitfalls and practical solutions.
The guide explains automated testing fundamentals, classifications, and current platform implementations—covering unit, interface, and UI testing on PC, Android, and iOS—while detailing data‑driven and keyword‑driven approaches and forecasting AI‑powered visual and functional testing using deep‑learning frameworks.
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 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 article provides a detailed tutorial on Cucumber‑JVM, covering its BDD concepts, Gherkin syntax, feature file structure, step definition implementation, tagging strategies, command‑line execution, and Maven/IDEA project setup for Android mobile testing.
This article explains how to set up a Windows environment with Node.js, Python, and Appium, dynamically generate desired capabilities for multiple phones, launch parallel Appium services and tests using multi‑process techniques, and handle port detection and release to achieve efficient multi‑device automation.
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 new mobile UI automation framework for the Xianyu app reduces script maintenance costs by using random monkey testing to record clicks and expected UI elements, organizing page‑specific scripts in MongoDB, executing them via Appium, and delivering data‑driven tests that doubled script count, achieved 98% pass rate, and cut update time from half a day to under an hour.
This guide details how to set up an iOS automation environment using Appium, Java, and related tools on macOS, covering system requirements, installation of Xcode, JDK, Node, Appium, WebDriverAgent, and necessary plugins, along with troubleshooting tips for successful device testing.
This article details the step‑by‑step setup and execution of automated testing for the ZuanZuan "Happy Delivery" WeChat mini‑program, covering debugging activation, process inspection, Chrome‑Inspector usage, Appium context switching, chromedriver compatibility, and best practices for building a maintainable mobile automation framework.
This article shares the design principles, architecture, and practical experiences of building a stable, maintainable UI automation framework for mobile applications, covering test case simplicity, maintenance cost reduction, driver abstraction, retry mechanisms, metrics, and CI integration.
This article shares the author's experience designing a stable, maintainable UI automation framework for iOS and Android, covering its motivations, advantages, architecture, coding practices, failure‑retry mechanisms, metrics, and CI integration to help teams avoid common pitfalls and improve test efficiency.
This article introduces Appium, an open‑source mobile automation framework that enables cross‑platform testing of native, hybrid, and mobile web apps by abstracting device interactions through third‑party engines, WebDriver API, sessions, and desired capabilities, and includes practical code examples.
This document outlines the background, goals, and detailed architecture of a mobile UI automation framework built on Appium, describing case management, result storage, evolution of element locating and interaction methods, multi‑platform execution strategies, and future enhancements for data collection and CI integration.
This article explains the common maintenance challenges in UI automation, introduces the PageObject pattern as a solution, describes its layered architecture—including appium, pages, operation, and test layers—and highlights how it improves code reuse, readability, and reduces effort when UI changes occur.
UI automation often suffers from maintenance headaches when page layouts change, requiring updates to every interaction; the PageObject pattern addresses this by separating element locators from operation logic into distinct layers (appium, pages, operation, test), enabling reusable, readable code and simplifying updates to only the pages layer.
This guide walks through installing the required tools, configuring Appium with Python on Windows, extracting an Android app's package and activity, writing a basic automation script, launching the app, using uiautomatorviewer for element location, and applying tips for Chinese input and service timeout handling.
The article describes a comprehensive automated testing solution for a mobile advertising SDK that combines UI automation with Appium, behavior‑driven test management with Cucumber, dynamic request/response mocking via anyproxy, and JSON‑schema validation to improve test efficiency, reliability, and coverage.
To cut costly manual testing for Meituan‑Dianping’s overseas travel apps, the team replaced Calabash with an Appium‑Cucumber BDD framework, gaining cross‑platform stability, easier iOS integration, richer element locating, Jenkins‑compatible reporting, and faster overall execution despite slightly longer per‑run times.
The article examines the difficulties of iOS automation testing for large-scale mobile applications, such as long feedback cycles, simulator limitations, and multi‑app scenarios, and proposes solutions using private Apple APIs, xcodebuild, and curl‑driven WebDriverAgent commands to overcome Instrument singleton constraints and improve test efficiency.
The article introduces XTS, an image‑comparison based mobile UI automation framework built on Appium, explains its architecture, case writing examples, and highlights new 2.0 features including one‑click compatibility testing, image‑based clicking, and dynamic ad‑ignoring through diff analysis.
This article introduces Ctrip Automation Platform (CAP), detailing its architecture, Java‑based implementation with TestNG, Appium, AngularJS, Jenkins, and Maven, the workflow for creating projects and running mobile, UI, and API tests, recent usage statistics, and planned reporting improvements.
This article introduces common Android app automation testing frameworks such as Instrumentation, UIAutomator, Robotium, Monkey, MonkeyRunner, MonkeyTalk, and Appium, explains their features and limitations, and provides detailed installation and usage instructions for Appium with Python examples.
The article explains why UI automation is essential for mobile apps, compares tools such as UIAutomator, Robotium and Appium (chosen for its cross‑platform support), addresses challenges like backend instability by using Appmock‑based mock servers, adopts the Page Object pattern, and shows how the suite cut testing time from half a day to twenty minutes, delivering lasting efficiency gains.
The article presents a comprehensive overview of mobile UI automation and performance testing practices, covering WalmartLabs' Appium-based framework, Taobao's SDK timing and frame‑drop analysis, quality assurance systems, crash analysis, static code scanning, AppCrawler, Macaca, MockServer usage, and Docker‑based test environments.
This article describes how the MMGame testing team combined the open‑source Appium automation framework with OpenCV's image‑recognition capabilities to enable coordinate‑based testing of third‑party mobile games that lack accessible UI elements, detailing the workflow, implementation, results, and a comparison with other mobile testing tools.
The article describes how Ctrip built a large‑scale mobile testing infrastructure, including device selection, scheduling, monitoring, and the Automation Platform as a Service (APS) that integrates TestNG, Appium, Jenkins CI, and reporting to support rapid, reliable app releases.
