Next generation of API testing : Unleashing the power of AI
summary
Describes a concrete system that taps gateway and OpenTracing logs to machine learning scores requests and automatically generates test templates for unexercised API paths; integrates with App Connect, Kafka and OpenShift operators to replay traffic and monitor outcomes; reports finding dozens of live transactions missing test coverage (example: ~25 uncovered operations) and a collector scale in the 300s; claims this closes the gap between production behavior and CI tests and surfaces performance and semantic failures.
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chapters (9)
- 0:00API testing era
- 4:30API testing challenges
- 9:17AI in API testing
- 15:18AI testing tools demo
- 22:23AI in CI/CD pipelines
- 28:59Cas d'usage concrets avec l'IA
- 34:07Optimizing test coverage with AI
- 39:55Experience and best practices
- 44:40Q&A
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