AI-Based Software Testing
摘要
As the complexity of software applications continues to increase, software testing becomes more challenging and time-consuming. The use of artificial intelligence (AI) in software testing has emerged as a promising approach to address these challenges. AI-based software testing techniques leverage machine learning, natural language processing, and other AI technologies to automate the testing process, improve test coverage, and enhance the accuracy of test results. This paper provides an overview of AI-based software testing, including its benefits and limitations, and discusses various techniques and tools used in this field.