Assessing LLMs' Code Complexity Reasoning Without Execution

This research investigates how well Large Language Models (LLMs) can understand and reason about the complexity of code without actually running it. The findings could lead to more efficient software development tools and a better understanding of LLMs' capabilities in the context of code analysis.

• •Focuses on LLMs' ability to reason about code complexity without execution.
• •Potentially improves software development tools through better code analysis.
• •Contributes to understanding LLMs' code-related reasoning capabilities.