Augmented testing is the use of artificial intelligence to enhance the software testing process. It involves using machine learning and other AI techniques to automate and optimize various aspects of testing, including test case generation, test execution, and test data analysis.
By analyzing large amounts of code and test data, AI algorithms can identify patterns and anomalies that may indicate defects or performance issues, helping testers to identify potential issues more quickly and accurately.
Overall, augmented testing can help to improve the quality and reliability of software products, while reducing the time and cost associated with traditional testing methods. Want to know more about: Artificial intelligence AI augmented testing
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