Test Automation

  Automation testing is continuously evolving with advancements in technology and changes in software development practices.  Here are some of the current trends in automation testing as of 2024: 1. AI and Machine Learning in Testing Test Case Generation: AI-driven tools are increasingly used to generate and optimize test cases, reducing redundant tests and focusing on high-risk areas. Predictive Analytics: AI helps in predicting the areas of code most likely to fail, allowing testers to prioritize their efforts. Self-Healing Tests: Automation scripts can automatically adapt to changes in the UI, such as altered element locators, reducing the maintenance burden. 2. Shift-Left Testing Early Testing Integration: Testing is increasingly being integrated earlier in the software development lifecycle (SDLC) with practices like Test-Driven Development (TDD) and Behavior-Driven Development (BDD), allowing bugs to be i

  Automation testing involves using software tools and frameworks to automatically execute test cases, compare actual outcomes with expected outcomes, and report results. Here are some key technologies and tools used in automation testing: 1. Test Automation Frameworks Selenium : One of the most popular open-source tools for web application testing. It supports multiple programming languages and browsers. Appium : An open-source tool used for automating mobile applications on Android and iOS platforms. Cypress : A JavaScript-based end-to-end testing framework, popular for testing modern web applications. TestComplete : A commercial tool that supports web, desktop, and mobile application testing. It provides support for various scripting languages. Robot Framework : An open-source framework that uses a keyword-driven approach for acceptance testing and acceptance test-driven development (ATDD). Playwright : A relatively new tool by