Discussion on The Vision-First Test Automation Keynote Session with Jason Huggins at #TestMuConf2024! πŸš€

TestΞΌ Conference 2024
#62

There are some key use cases for vision-first test automation:

  1. UI Consistency: Checks that user interfaces look correct across different devices and screen sizes.

  2. Visual Regression: Detects unintended visual changes after updates or deployments.

  3. Cross-Browser Testing: Ensures the app appears and functions the same across various browsers and devices.

  4. Mobile App Testing: Validates UI elements and interactions on mobile apps.

  5. Dynamic Content: Confirms that visual layouts stay consistent despite changing content.

  6. Accessibility: Ensures visual elements meet accessibility standards.

  7. Design Compliance: Verifies adherence to design systems and style guides.

  8. Performance Monitoring: Identifies visual performance issues, like slow-loading elements.

happy to help :slight_smile:

#63

Addressing complexity in a CI pipeline, my primary goal is to ensure efficiency and reliability. This involves:

Streamlining Processes: Simplify and automate steps to reduce manual intervention and minimize errors.

Enhancing Speed: Optimize pipeline performance to ensure quick and consistent builds and tests.

Maintaining Quality: Implement robust testing and validation to catch issues early and maintain high code quality.

Scalability: Design the pipeline to handle growth and accommodate increasing project complexity without becoming unwieldy.

Clear Visibility: Provide clear and actionable feedback through detailed logs and reports to quickly identify and resolve issues.

Focusing on these aspects helps manage complexity effectively and ensures a smooth and reliable CI/CD process.

happy to help :slight_smile:

#64

From my experience, I would suggest to integrate OpenCV with your Java-based Selenium tests:

Add OpenCV Library: Include the OpenCV Java library in your project.

Capture Screenshots: Use Selenium to take screenshots of the web pages during testing.

Process Images: Convert these screenshots into OpenCV format and use OpenCV functions to analyze the visual elements.

Perform Checks: Implement OpenCV-based checks like image recognition or comparison to validate visual aspects of your website.

Combine with Selenium: Incorporate these visual checks into your existing Selenium test cases to ensure both functionality and visual accuracy.

This approach enhances your test automation with advanced visual validation.

happy to help :slight_smile:

#65

In my experience, both Java and Python are both in demand for automation testing:

Java: Popular in enterprise environments with strong support for tools like Selenium.

Python: Valued for its simplicity and ease of use, ideal for quick automation with tools like PyTest.

Both are highly valued, with Java being favored for larger projects and Python for its flexibility and speed.

happy to help :slight_smile:

#66

Yes, it works for laptops and other screens. Just adjust your tests for different resolutions and layouts, and consider screen-specific features like keyboard interactions or touch gestures.

hope this was helpful :slight_smile: