See how AI-Powered DevOps can Accelerate your Testing
summary
OpenText demos show an AI component that reads feature text, generates manual and automation tests, converts video recordings into reproducible test steps and evidence, and produces a dashboard heatmap that predicts time-to-market and surfaced risks. Demos claim automation scaffolds cover about 60–70% of test code, cutting manual test-evidence time so a tester can save roughly 30–40 hours per month. Integrations cited include ValueEdge and Xray and the live demo generates usable scripts and risk alerts in minutes.
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chapters (11)
- 0:00AI-powered DevOps and testing
- 1:58AI’s impact on development
- 7:25Testers’ challenges with fast code
- 9:36Key tester challenges in AI era
- 15:01AI transforming testing
- 20:08AI’s impact on testing lifecycle
- 26:38Real-world AI testing apps
- 30:12Live demo: AI test management
- 37:18AI-assisted test generation
- 40:09Converting tests with AI
- 43:08AI assistance for testers
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