Smarter AI-Powered Test Generation

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

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