BRMiner combines Large Language Models with traditional testing techniques to generate more relevant test inputs from bug reports.

• Extracts meaningful test inputs from historical bug reports
• Overcomes limitations of current automated testing tools
• Improves test coverage and bug detection capabilities
• Demonstrates how AI can enhance software quality assurance

This research matters for Engineering teams by reducing the time-consuming process of manual test writing while creating higher quality automated tests that can find real-world bugs more effectively.

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports