AI tools and techniques that can be integrated into Selenium test cases to enhance automation with intelligence, self-healing, and smarter reporting.
🔧 1. Healenium (Self-healing for Selenium) Use case : Automatically heals broken locators at runtime. Integration : Java-based and works directly with Selenium WebDriver. GitHub : https://github.com/healenium/healenium-web 📌 Benefits : Reduces test maintenance effort and improves test stability. 🧠 2. Testim (AI-based test execution and maintenance) Use case : Uses AI to identify elements and adapt to DOM changes. Integration : While Testim has its own framework, you can integrate via REST API or CI/CD pipelines. 📌 Alternative : Use AI features in the Testim platform for authoring and executing Java-based tests externally. 🔍 3. Applitools Eyes (Visual AI testing) Use case : Compares screenshots using AI to detect visual regressions. Integration : Java SDK available; easy to integrate with existing Selenium tests. Site : https://applitools.com 📌 Benefits : Detects UI bugs that are hard to find with DOM-based checks. 🗂️ 4. Mabl (AI ...