Applying AI Capabilities in Scenario Testing
summary
Discusses using artificial intelligence techniques to support scenario-based testing, naming AI as the enabling technology and focusing on applying AI capabilities to create, manage, or evaluate test scenarios in software testing. Describes practical approaches to integrate AI into the scenario testing workflow to improve test coverage and effectiveness.
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chapters (14)
- 0:00AI in scenario testing
- 3:50Linear test scenario problems
- 6:39Behavior trees for flexibility
- 8:27State machines and virtual assistant
- 11:47Goal-oriented test planning
- 13:18Calculator demo
- 18:04System intelligence and learning
- 22:29Task hierarchy and abstraction
- 25:53Dynamic testing benefits
- 28:46E-commerce testing example
- 32:04User roles and error handling
- 35:21Natural language interaction
- 37:16Multi-product version support
- 39:08Self-learning and future
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