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Automation

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1AI Testing: The Challenges of AIGC Implementation in the Testing Domain Explore the key challenges of AIGC implementation in the software testing domain. Learn how AIGC impacts testing processes, quality, and efficiency for testers and AI R&D professionals.
2Reflecting 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.
3Challenges and Solutions in Exception and Crash Management. Nowadays, The online environment is complex and abnormal errors are hard to find, "needle in a haystack" will lead to low efficiency, high cost of troubleshooting.
4Real-World Scenarios Where Automated Testing is Essential for Games With the growing complexity of game testing,automated testing allows teams to efficiently detect issues, streamline testing processes, and accelerate time-to-market.
5How to Measure Test Development Value and SDET Output Metrics How to measure SDET and test development team value efficiently. Learn why saved engineer-days fails and how user adoption metrics accurately evaluate testing platform output.