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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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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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1How to Test Blockchain Systems: Challenges, Test Points and Performance Metrics Learn core blockchain testing challenges, key test scenarios, performance metrics, and differences between public, private and consortium chain QA for distributed ledger systems.
2A Case Study on Debugging High-Concurrency Bugs in a Multi-Threaded Environment The article covers the debugging process for core dump issues, memory leaks, and performance hotspots, as well as the use of various tools such as GDB, Valgrind, AddressSanitizer, and Perf.
3Maximizing Mobile App Success: Three Strategies for Effective Testing and QA In this blog, we will dive into three strategies to erect a thriving and effective mobile test strategy that eradicates errors and maximizes triumph in the marketplace.
4How to Test AI Products: A Complete Guide to Evaluating LLMs, Agents, RAG, and Computer Vision Models A comprehensive guide to AI product testing covering binary classification, object detection, LLM evaluation, RAG systems, AI agents, and document parsing. Includes metrics, code examples, and testing methodologies for real-world AI applications.
5Automated Security Testing: Enhancing Software Resilience Automated security testing has emerged as a critical strategy to proactively identify and mitigate vulnerabilities, ensuring the integrity and safety of applications.
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