Machine Learning & Angular Testing w Dozn
summary
Dozn is an internal beta product built over six months that records DOM interactions in Angular/Ionic apps, visualizes flows with D3, and auto-generates runnable end‑to‑end scaffolds. Notes from the session: about 600 Twitter votes show 33% lack time to test, and Firestore goes down at 11:44 during the demo. Machine learning randomizes user paths, weights nodes and uses a 75% threshold to suggest tests, then export tests and page objects that run immediately to reduce manual E2E work and improve reproducibility.
AI-written summary · about
chapters (7)
- 0:00Introduction to Dozen
- 2:58The problem with testing
- 6:25Dozen platform features
- 9:39How Dozen works
- 13:00Demo and workflow
- 16:00Machine learning integration
- 20:53Closing thoughts
related talks
32mLeveraging Angular-Based Frameworks for AI-Driven Testing
21mBuild, Measure, and Machine Learn with Angular
52mAngular Testing: Do I Really Have to Do It?!
56mTechniques and practices for testing Angular
59mTechniques and practices for testing Angular 2
36mDeveloping Tools, While Testing
32mDOM Testing: Test Your Frontend Apps More Easily and Effectively
48mTest Driven Development with AngularJS