AI-Powered E2E UI Testing: Faster Creation, Easier Maintenance

This talk is scheduled for Nov 21, 20:50
The recording will be published after editing. Multipass and Full ticket holders have early access.
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This session will guide you through the advanced field of AI- E2E UI Testing, focusing on how it speeds up test creation and simplifies test maintenance. We'll begin by examining the challenges in generating E2E tests with AI, noting how this differs from the simpler task of creating unit tests.
The discussion will then shift to a solution that addresses these challenges effectively. Prepare to see a live demonstration where we'll craft an E2E test using popular tools like Cypress or Playwright. To wrap up, we'll look into how AI comes close to fully automating the maintenance of our test suites, ensuring they stay up-to-date with minimal manual intervention.

This talk has been presented at JSNation US 2024, check out the latest edition of this JavaScript Conference.

FAQ

Daniel Ostrovsky is a full-cycle developer expert with over 25 years of experience. He is a public speaker, writer, open-source contributor, and technical mentor.

You can follow Daniel Ostrovsky on Twitter, Medium, and YouTube by scanning the provided barcode. His username is nanduh81.

The main topic of the presentation is AI-powered end-to-end testing for user interfaces.

AI-powered UI testing faces challenges due to the abstraction layers between the source code and the rendered UI, unlike unit tests where the source code is directly available.

AI can effectively generate tests for common applications like e-commerce websites due to existing knowledge. However, for niche applications, it struggles without specific guidance as it lacks access to proprietary systems.

The two best practices are using meaningful data test IDs and relying on the page objects model pattern to make tests cleaner and more modular.

Daniel recommends using an in-browser extension called end-to-end test helper and an IDE extension called continue, which offers features like powerful auto-completion.

The application used for the demo is a Pokemon application, which includes features like filtering by name or type, and navigation to Pokemon details pages.

The continue extension is used for managing code directly in the IDE, offering features like auto-completion and helping in generating end-to-end tests.

Meaningful data test IDs help AI understand the purpose of each actionable item, making it easier to generate and execute relevant tests for UI elements.

Daniel Ostrovsky
Daniel Ostrovsky
21 Nov, 2024
Video transcription, chapters and summary will be available after the recording is published.

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