Panta: Enhancing Test Generation with LLMs
Combining AI and program analysis for better code coverage
Panta is a novel hybrid approach that mimics how developers analyze code to create effective test cases, addressing LLMs' limitations in reasoning about complex control flows.
- Combines large language models with program analysis in an iterative workflow
- Achieves higher branch coverage than standalone LLM approaches
- Emulates human developers' processes for analyzing code structure
- Particularly effective for testing complex methods in real-world projects
This innovation significantly advances automated software testing capabilities, enabling more thorough security testing and vulnerability detection while reducing manual effort for engineering teams.