AI and Machine Learning in Testing
AI and Machine Learning in Testing refers to the use of artificial intelligence and machine learning technologies to automate and enhance software testing processes. This involves the development and implementation of algorithms and models that can analyze and interpret testing data, identify patterns and anomalies, and make predictions to improve the efficiency and effectiveness of testing procedures. AI and Machine Learning in Testing can help testers identify bugs and defects more quickly, optimize test coverage, and streamline the overall testing lifecycle.