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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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1Large AI Models & Intelligent Testing: Evaluation System, Implementation Roadmap & Pitfall Avoidance Discover the deep integration of large AI models and intelligent testing, covering evaluation system, enterprise implementation roadmap, industry cases, RAG application and common pitfalls for QA & testing teams.
2Benefits and Challenges of Test Automation Each and every QA specialist understands the concept of automated software testing, the advantages it brings, and the challenges it entails.
3WeTest Long-term Cooperation Partner Introduction- Vietnam KOL Tuan Ngoc（The Third Issue） WeTest PerfDog has become a performance testing tool used by users all over the world. Recently, WeTest international community launched a global discussion on “performance testing tools” and received comments and videos from YouTube KOL.
4Pixelworks Collaborates with PerfDog Platform to Deliver Multi-Dimensional Testing of Mobile Gaming Performance Newly Introduced Frame Generation Visualization Benchmark Boosts Gaming Optimization
5Exploring the Application of AI in Security Testing: A Tencent Case Study This article uses Security Protection Products as an example, but this methodology is suitable for in-depth mining of bugs caused by combinations of multiple factors.
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