Description: Intelligent automation testing uses artificial intelligence (AI) to enhance the automation of testing processes in software development. This approach combines traditional automation techniques with machine learning algorithms and data analysis, enabling development teams to identify and resolve issues more efficiently. Intelligent automation testing can adapt to changes in software products, optimizing the testing process and reducing the time and resources required. Additionally, these tests can learn from previous results, continuously improving their accuracy and effectiveness. This type of testing is not limited to executing predefined scripts but can also include automatic test case generation, pattern identification in test data, and risk-based test prioritization. In an agile development environment, where changes are frequent and rapid, intelligent automation testing becomes an essential tool for ensuring software quality, allowing organizations to launch more reliable and competitive products to the market.
