Design and Implementation of an AI-Based Enterprise Mobile Platform Automated Testing System

As enterprise mobile applications proliferate, ensuring their quality and security has become increasingly essential. Common challenges include content duplication, security vulnerabilities, sensitive data leaks, and compatibility issues across diverse devices, all of which can harm user experience and corporate reputation. This paper presents an AI-driven automated testing system designed to address these issues. The system integrates advanced technologies such as OCR, CNN, NLP, BERT, Twin Network Model, Isolation Forest, and K-Means Clustering to analyze page elements, intelligently select appropriate test components, and generate automated testing scripts. By dynamically refining testing strategies based on feedback and results, the system delivers a reliable and efficient quality assurance framework, empowering enterprises to meet the demands of digital transformation.