MDRE-LLM: A Tool for Analyzing and Applying LLMs in Software Reverse Engineering

MDRE-LLM: A Tool for Analyzing and Applying LLMs in Software Reverse Engineering

연구 분야: Analysis

학회: 2025 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

Understanding and maintaining software systems often requires extracting high-level abstractions, such as domain models, from source code. MDRE-LLM addresses this challenge by integrating Large Language Models (LLMs) with traditional Model-Driven Reverse Engineering (MDRE) techniques, offering an innovative approach to automate and enhance domain model recovery. The tool supports flexible granularity strategies and validates LLM -generated models against deterministic baselines. MDRE-LLM addresses diverse use cases, including analyzing legacy systems with minimal documentation, rapidly compre-hending large-scale codebases, and validating LLM performance in reverse engineering tasks. These capabilities have the potential to improve software analysis and refactoring while advance AI-driven research and education by fostering systematic experimentation and collaboration. The tool and a webcast are available at https://zenodo.org/uploads/14072106.