~/talk

Rise of the Machines: Can Artificial Intelligence Terminate Manual Testing?

Talkat HUSTEF 2018 · 2018-10-29..10-31· [testing, ai-assisted-development]
slides:none on file

AI and ML already augment testing and target automated oracles, test generation, system modeling, and defect discovery with concrete tools and datasets. A crawler called Dora builds UI models, learns from user stories and existing test cases using NLP/LSTM, and combines neural nets, Bayesian nets, decision trees and reinforcement learning to generate readable tests. The talk cites large datasets (eg 30 million moves analogy), drives apps via Selenium/Robot Framework, runs tests in production with safe‑for‑patient validation and replicas, but the oracle problem remains.

AI-written summary · about

  1. 0:00Introduction
  2. 0:54Tariq King
  3. 2:23What is testing
  4. 5:12What is software
  5. 5:52Artificial Intelligence
  6. 9:04Chess
  7. 13:22Goal
  8. 22:40Deep Learning
  9. 29:46Coverage
  10. 31:03Software Complexity
  11. 31:40Artificial Intelligence and Testing
  12. 32:13The bots are here
  13. 34:28How does it work
  14. 36:43Dora
  15. 38:05Dora learns
  16. 39:23How it works
  17. 39:54Benefits of testing
  18. 41:10Limitations
  19. 41:23Whitebox Testing
  20. 41:50Trust in Technology
  21. 44:06Dynamic Systems Initiatives
  22. 45:46Testing is part of the system
  23. 46:06In production
  24. 48:17Manual Testing
  25. 51:50The Beginning
  26. 52:07AI Machine Learning
  27. 53:18Its Real Life
  28. 53:37The Challenge
  29. 54:10One grand vision
  30. 54:26No human intervention
  31. 55:02Three Areas of Intersection
  32. 55:36Our Vision
  33. 55:49Community
  34. 56:03Testing the Org
  35. 56:26Communication Collaboration
  36. 56:59The End
  37. 57:13The Greatest Conference
  38. 57:26Sharing and Diversity
  39. 58:26Increasing Knowledge
  40. 58:58Question Time
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