Description: Intelligent Testing uses machine learning and artificial intelligence techniques to optimize the testing process and improve test coverage. These methodologies allow development and quality assurance teams to identify and prioritize test cases more efficiently, reducing the time and resources needed to conduct thorough testing. By analyzing patterns in previous test data, intelligent testing can predict areas of the software that are more prone to failures, enabling teams to focus on the most critical parts of the code. Additionally, these tests can dynamically adapt to changes in the software, ensuring that testing remains relevant throughout the development lifecycle. In an environment where speed and quality are essential, intelligent testing has become a valuable tool for enhancing the effectiveness of the software development process, allowing for faster releases with fewer errors.
