This article introduces how artificial intelligence can change and enhance the technology and effectiveness of automated software testing

mainly analyzing and demonstrating from three aspects: test case generation

test execution

and test evaluation. Artificial intelligence utilizes natural language processing

machine learning

deep learning

and other methods to automatically generate high-quality test cases from software models

specifications

data

and other information

execute test cases automatically

collect test results

analyze test results automatically

and provide evaluations and recommendations. Artificial intelligence can not only improve the efficiency and quality of software testing

reduce the cost and risk of software testing

but also provide a more natural

friendly

intelligent

and innovative software testing experience. This article also explores the challenges and future development directions of artificial intelligence in automated software testing

providing new ideas and perspectives for research and practice in the field of software testing.