
Smarter AI-Powered Test Generation
Using Static Analysis to Enhance LLM-Generated Unit Tests
This research introduces a novel approach that combines static program analysis with LLMs to automatically generate high-quality unit tests for Java methods without requiring sample code or entire class contexts.
- Analyzes method dependencies to create minimal, relevant context for LLMs
- Generates test setup code to handle complex object initialization
- Improves test coverage while reducing hallucinations and errors
- Creates more maintainable tests with proper assertions
For engineering teams, this approach offers a scalable solution to automate testing of newly written code, reducing development time while improving code quality and reliability.
Static Program Analysis Guided LLM Based Unit Test Generation