The future of test automation
summary
Predicts testing shifts: fragmentation grows to ~20–40 billion Internet devices so front‑end risk explodes; cloud device farms like AWS Device Farm and browser services like BrowserStack or Sauce Labs make exhaustive weird‑input and cross‑device checks affordable; visual/approval tools (Wraith, Applitools) plus robots that tap UIs enable screenshot‑based baselines; CSS/layout frameworks (Galen, KAT/Kot styles) automate layout expectations; machine learning (eg TensorFlow) and GitHub‑scale research already auto‑fix some bug patterns, flagging risky commits before release.
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chapters (20)
- 0:00Introduction to future testing
- 1:53Fragmentation in devices and platforms
- 4:20Cloud infrastructure and its impact
- 5:45Shift of risk to front-end testing
- 6:48Balancing expected and unexpected testing
- 10:24Cloud-based device testing services
- 13:15Human insight in automated testing
- 16:05Usability testing in the cloud
- 17:30Coordination of testing tools
- 18:33Assisting human decisions in testing
- 20:41Approval testing for non-deterministic systems
- 22:08Visual regression and layout testing
- 26:00Evaluating previously untestable aspects
- 29:31Handling unpredictable outliers
- 32:00Gradual deployment and monitoring
- 34:49Behavior change detection in production
- 35:54Big data and AI in testing
- 41:16AI-assisted exploratory testing
- 43:22Practical steps to adopt new tools
- 44:05Q&A and closing remarks
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