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A Test Automation Platform Designed for the Future

Looking for cutting-edge AI-based test automation tools to level up your SDLC today? In this webinar, we will hit reset on the industry expectations around what your tooling needs to look and act like—and give you a preview of the new product we’ve been pouring ourselves into. You will see why now is the time to shake things up and push beyond what you thought possible in your test automation practice.

1 of 41
1
A Test Automation Platform Designed
for the Future
Introducing Autonomous and the Applitools Intelligent Testing Platform
1
AI-Powered Testing & Monitoring
Feb 2024
2
Agenda
• Why autonomous testing?
• The goal of autonomous testing
• How can it be done?
• The Applitools intelligent testing platform
• Introducing Autonomous
• Q&A
3
Why Autonomous testing?
4
The test automation lifecycle
SETUP
• Build a test automation framework
• Integrate with CI/CD
• Setup a device & browser lab
AUTHOR
• Add new tests for new features
• Adapt existing tests to app changes
• Is coverage adequate?
EXECUTE
• Devices & browsers
• Speed
• Stability
ANALYZE
• Analyze test results
• Triage & report issues
• Generate quality reports
Architect
DevOps
Dev
Quality lead
Dev
Dev
DevOps
5
What’s wrong with the traditional
approach to automation?
6
Requirement: show missing credentials errors

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A Test Automation Platform Designed for the Future

  • 1. 1 A Test Automation Platform Designed for the Future Introducing Autonomous and the Applitools Intelligent Testing Platform 1 AI-Powered Testing & Monitoring Feb 2024
  • 2. 2 Agenda • Why autonomous testing? • The goal of autonomous testing • How can it be done? • The Applitools intelligent testing platform • Introducing Autonomous • Q&A
  • 4. 4 The test automation lifecycle SETUP • Build a test automation framework • Integrate with CI/CD • Setup a device & browser lab AUTHOR • Add new tests for new features • Adapt existing tests to app changes • Is coverage adequate? EXECUTE • Devices & browsers • Speed • Stability ANALYZE • Analyze test results • Triage & report issues • Generate quality reports Architect DevOps Dev Quality lead Dev Dev DevOps
  • 5. 5 What’s wrong with the traditional approach to automation?
  • 6. 6 Requirement: show missing credentials errors
  • 8. 8 A traditional E2E test Need to write a lot of code Very limited coverage Code will break when the UI changes
  • 9. 9 When the UI changes…
  • 10. 10 Low coverage: unexpected visual bugs A visual bug
  • 11. 11 Low coverage: unexpected functional bugs A functional bug
  • 12. 12 Most test automation projects fail
  • 13. 13 Is the goal of autonomous testing to eliminate the human factor?
  • 14. 14 Is the goal of autonomous testing to eliminate the human factor?
  • 15. 15 AI can’t replace the QA practitioner • Not accurate enough to be trusted blindly • Requires adjustment and feedback • Quality issues are often subjective • Limited perspective • Limited scope
  • 16. 16 GenAI has lowered the bar for producing software at scale What impact do you think this will have on software quality?
  • 17. 17 The goal of autonomous testing is to make automation at scale accessible effortlessly to all
  • 18. 18 Automation at scale accessible effortlessly to all! Attain near complete test coverage From below 20% to 80% or more Catch unexpected defects Lower the required skill set From dev to quality Drastically reduce human involvement From total involvement to review findings and filling coverage gaps
  • 19. 19 How can it be done?
  • 20. 20 We need to eliminate all this code
  • 21. 21 We need to eliminate all this code Navigation
  • 22. 22 We need to eliminate all this code Interaction
  • 23. 23 We need to eliminate all this code Validation
  • 25. 25
  • 26. 26
  • 27. 27
  • 28. 28 VisualAI advantages • Enhance existing tests and reduce the amount of test code by up to 80% • A single visual checkpoint for complete visual and functional coverage • Catch unexpected defects • Do not break when the UI changes • No coding skills required to maintain validation logic
  • 29. 29 VisualAI eliminates validation code and catches unexpected defects
  • 30. 30 The Applitools intelligent testing platform
  • 31. 31 The Applitools intelligent testing platform
  • 32. 32 32 AUTHOR Record live interactions with a powerful web recorder to build complex end-to-end tests without coding UI RECORDER Automatically discover new, missing, faulty or changed pages and components on your website or web app on every run. AUTONOMOUS DISCOVERY Describe complex custom end-to-end flows using nothing more than plain English: interactions, assertions, API calls, etc. NLP BUILDER Integrate Visual AI with your favorite open-source testing frameworks FRAMEWORK SDKs Reduce the time it takes to author automated tests
  • 33. 33 Validate entire pages with hundreds of elements across different browsers instantly with a single line of code INCREASE COVERAGE Easily test dynamic and frequently changing pages without having to rewrite and maintain tests DYNAMIC CONTENT VALIDATE Increase test coverage with AI assertions Validate any UI technology: web, native mobile, hybrid, desktop, PDF documents, design images, etc. ANY UI TECHNOLOGY
  • 34. 34 EXECUTE Increase release velocity with faster, resilient tests Run tests in parallel at massive scale on ultrafast test infrastructure in the cloud FAST INFRASTRUCTURE Automatically heal element locators that break your tests even for the smallest UI change SELF-HEALING TESTS Run tests on demand, from your CI/CD, a webhook, or use our built-in test scheduler FLEXIBLE ORCHESTRATION
  • 35. 35 ANALYZE Get deep insights into every test run Get comprehensive reports and insights for all your test runs and easily search and filter test results INSIGHTFUL REPORTS Quickly surface code changes underlying UI changes with Root Cause Analysis PINPOINT WHAT WENT WRONG Leverage AI to avoid repetitive test maintenance activities and to group together similar UI changes and issues AUTOMATED TEST MAINTENANCE
  • 36. 36 • Collaboration tools • Bug trackers • CI / CD • Source control • APIs INTEGRATE Integrate with everything
  • 37. 37 Autonomous Autonomous testing for websites and multi-page web apps 37
  • 38. 38 Autonomous Autonomous testing for websites and multi-page web apps Easy one click setup Just point Autonomous at your website and you are done. Everything you need is available out of the box. Automatic website / app discovery Automatically create self-adjusting test suites that detect new, missing, changed or faulty pages and components on every run Natural language test builder Describe complex end-to-end flows using nothing more than plain English. No coding or element locating skills required Flexible test orchestration Run tests on demand, from your CI/CD, a webhook, or use our built-in test scheduler. No DevOps skills required Self-heal broken locators, avoid repetitive maintenance activities and group together similar UI changes and issues AI assisted test maintenance Cross device and browser testing Test your public and internal apps on any device, browser and OS using the world’s most modern test infrastructure available out of the box
  • 40. 40 The world’s most intelligent testing platform Automated test maintenance Employs DNNs to find similar differences across different OS, devices and browsers (e.g., different fonts). Self healing element locators Employs algorithms and ML to find UI elements with broken locators based on previous successful test runs. Automated test data generation Employs DNNs to detect input forms in apps and the data types of their fields to facilitate proper test data generation. Automatic test suite creation Employs Generative AI algorithms to generate entire test suites for websites and multi-page web applications. Author tests in plain English Employs LLMs for language understanding and for translating business level test instructions to detailed UI interactions. VisualAI: human vision modeling Employs dozens of algorithms, and DNNs to model color similarity, text vs image, picture vs graphics, pattern detection, etc. * ML – Machine Learning, DNN – Deep Neural Network, LLM – Large Language Model