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Your Tests Lack Vision: Adding Eyes to your Automation Framework
Discover how adding visual validation to your automation framework can catch subtle bugs and ensure comprehensive coverage, using Aplitudes' AI-powered API, Eyes, to detect patterns and automate testing.
- The industry’s current testing technique is flawed, relying on querying the DOM, which misses functionality.
- Automating tests without visual validation can lead to situations where users are unaware of subtle bugs.
- Intentional blindness is a common issue, where humans miss things due to focus on specific tasks.
- Aplitudes’ AI-powered API, Eyes, can detect visual bugs and automates visual testing.
- Visual testing can be integrated with functional testing to ensure comprehensive coverage.
- Companies like Google, Facebook, and Amazon have experienced visual bugs, highlighting the need for professional visual testing.
- The API uses machine learning to detect patterns in pages, making it quick and efficient.
- The API can handle dynamic content, viewports, and configurations.
- Targeting specific regions within a page can be achieved using CSS selectors.
- Validation can be automated, allowing for fast and reliable testing.
- Visual testing is not new, but Aplitudes’ API has improved its effectiveness and efficiency.
- The API can detect subtle bugs, like overlapping text or unaligned labels.
- Visual testing can help catch bugs that would otherwise be missed, improving the overall testing process.
- The API can be used with popular testing frameworks like Cypress, Selenium, and Applitools.
- The API’s results can be used to identify and prioritize bugs, streamlining the testing process.