Application of Artificial Intelligence Based Financial Software Testing Automation Technology

Abstract

With the deepening of digital transformation in the fi nancial industry, the complexity of fi nancial software is increasing, and the requirements for its quality are becoming increasingly strict. This article explores the application of artificial intelligence technology in fi nancial software testing automation, with a focus on the core functions of AI algorithms in test case generation, test data analysis, and defect detection. Through case analysis, the advantages of AI driven testing tools in improving testing efficiency and accuracy were demonstrated. Finally, this article elaborates on the specific implementation plan of testing automation technology based on artificial intelligence, and explores how to optimize the testing process through deep learning, natural language processing, and data analysis to improve the testing quality and efficiency of fi nancial software.