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Acorn AI: Game Testing Agent
New Game Testing Redefined by Scalable Computing – No-Code Automation, 300% Efficiency Gains
UDT Standard
Hot An auto-testing platform with thousands of real devices, which also supports testing on users' local devices
UDT Custom
New Customize an automated testing platform that includes the functions required by the customer based on the standard version
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Private Device Cloud
 Instant, secure & dedicated device cloud for your team
PerfDog
Hot A cross-platform performance testing tool that helps developers monitor, analyze, and optimize apps in real-time
CrashSight
 A professional crash management platform for mobile, PC and console
PerfSight
 PerfSight helps developers optimize game performance across mobile, PC, and console platforms
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 Instant access to a wide range of iOS and Android real devices
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 Perform mobile app automated testing in popular frameworks
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 Quickly find basic compatibility issues
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Imagination and Tencent WeTest carry out in-depth cooperation to help developers obtain key report o

WeTest’s PerfDog tool adds more than 80 GPU Counters across all platforms and architectures, providing developers with detailed interpretation on data indicators of PowerVR GPU
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1WeTest Case Study: A Battle Royale Mobile Game This case provides a best-practice model for the mobile game industry, demonstrating how to update QA management using modern technologies and automated tools.
2Automation Testing Scenarios in App Testing In app testing, automation testing is widely applied across various scenarios.The following are common scenarios and practical examples.
3Game Testing and Quality Assurance Guide: A Comprehensive Specification for Developers Game Quality Assurance Guide: Testing Methods, Automation & Best Practices
4PerfDog Web Client User Guide MASTER THE PERFDOG WEB CLIENT WITH THIS COMPREHENSIVE USER GUIDE TO OPTIMIZE YOUR APP'S PERFORMANCE TESTING EXPERIENCE.
5Reflecting on the AWS Outage: Uncovering Cloud Testing Blind Spots and AI Strategies A catastrophic AWS outage in October 2025 exposed critical flaws in modern cloud testing. This analysis details the $10 billion disaster’s root causes—from hidden dependencies to race conditions—and explores how AI-powered resilience strategies can prevent future global system crashes.
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