Cybertesting, or Now into the Future
summary
Overview of how AI and machine learning affect QA testing, including combining AI speed with human creativity to organize a “testing 2.0” process. Practical demonstrations of neural network capabilities for QA specialists and examples of applying these tools in testing workflows.
AI-written summary · about
chapters (6)
- 0:00AI and testing introduction
- 3:42AI components
- 8:18AI testing approaches
- 11:07AI-based testing methods
- 24:37AI in DevOps and continuous testing
- 26:10Q&A
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