Research on Optimization of Automated Testing for Training Management Platforms Based on QTP

With the rapid development of information technology in educational institutions, training management platforms have become essential tools for managing student internships and practical training programs. However, ensuring the quality and reliability of these platforms through comprehensive testing remains a significant challenge. This study focuses on optimizing automated testing for training management platforms using QuickTest Professional (QTP). An enhanced testing framework that integrates systematic test case design with advanced automation strategies is proposed and empirically validated. Through comprehensive analysis of a real-world training management platform serving over 2,000 students, significant improvements in testing efficiency and defect detection rates are demonstrated. The proposed optimization approach achieves a 40% reduction in testing time while increasing test coverage to 95%, contributing substantially to the field of software testing automation and providing practical guidelines for educational software quality assurance.