SW Testing - Can ML Save Us?

SW Testing - Can ML Save Us?

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Intro

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1 of 17

Intro

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SW Testing - Can ML Save Us?

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  1. 1 Intro
  2. 2 What is software testing?
  3. 3 The problems with testing today
  4. 4 The promise of Machine Learning for testing
  5. 5 Problem: GUI testing is a mess
  6. 6 GUI Regression testing
  7. 7 Test abstractions in GUI-testing
  8. 8 Example: abstract GUI testing
  9. 9 GUI-abstraction with Supervised Learning
  10. 10 The ingredients of a clustering solution
  11. 11 The bag-of-words model
  12. 12 Characteristics of Unsupervised Learning
  13. 13 Unsupervised Learning: Criteria for success
  14. 14 Testing Candy Crush with Reinforcement Learning
  15. 15 How to succeed with Reinforcement Leaming
  16. 16 Related: Fuzzing
  17. 17 Testing machine learning systems

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