随着软件测试复杂度不断提升,传统教学模式在培养自动化测试人才方面面临严峻挑战。研究提出一种融合生成式AI与自动化测试的创新教学模式,将AI技术深度融入测试场景设计、代码生成和结果评估全过程。实践表明,该模式不仅有效降低了学生的学习门槛,还显著提升了测试用例的覆盖率和代码质量。本研究为软件测试课程改革提供了新思路,对培养适应智能化发展需求的测试人才具有重要参考价值。

As software testing complexity continues to increase, traditional teaching models face significant challenges in cultivating automated testing talents. This study proposes an innovative teaching model that integrates generative AI with automated testing, deeply incorporating AI technology into test scenario design, code generation, and result evaluation processes. Practice shows that this model not only effectively reduces students' learning barriers but also significantly improves test case coverage and code quality. This research provides new insights for software testing curriculum reform and offers valuable reference for cultivating testing professionals adapted to the demands of intelligent development.