Automation testing has long been a cornerstone of efficient software development and quality assurance processes. Selenium, as a widely adopted automation testing tool, has empowered testers to perform web application testing effectively. However, with the integration of Artificial Intelligence (AI) and Machine Learning (ML), Selenium testing is undergoing a paradigm shift, enabling smarter, faster, and more accurate test automation. This blog explores how AI and ML are transforming Selenium testing, their benefits, use cases, and the future of automation testing. Understanding AI and Machine Learning in Testing Artificial Intelligence (AI) : The simulation of human intelligence in machines, enabling them to perform tasks like reasoning, learning, and problem-solving. Machine Learning (ML) : A subset of AI that allows systems to learn and improve from experience without explicit programming. When applied to Selenium testing, AI and ML enable automated test scripts to adapt ...

Visual testing is an essential part of UI validation, ensuring that web applications appear and function as intended across different browsers, devices, and screen resolutions. While Selenium is primarily used for functional testing, it can also be leveraged for visual regression testing with the help of additional tools and libraries. In this blog, we’ll explore how to perform visual testing using Selenium, covering key concepts, tools, and step-by-step implementation. Table of Contents What is Visual Testing? Why Use Selenium for Visual Testing? Tools for Visual Testing with Selenium Step-by-Step Guide to Perform Visual Testing Prerequisites Setting Up Selenium WebDriver Capturing Screenshots Comparing Screenshots Generating Test Reports General Steps to Perform Visual Testing Best Practices for Visual Testing Conclusion 1. What is Visual Testing? Visual testing (or visual regression testing) compares screenshots of a web application’s UI against baseline images to detect unintended ...