This research demonstrates how Large Language Models can automate the entire vehicle API testing workflow, addressing the complexity of modern automotive software verification.

• Creates test cases by understanding API documentation and specifications
• Automates test script generation across multiple protocols
• Evaluates test results and generates comprehensive test reports
• Reduces manual effort while improving test coverage in automotive contexts

For engineering teams, this approach offers a scalable solution to the growing complexity of vehicle software systems, enabling faster development cycles while maintaining quality standards.

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study