Project

Assembly to C Translation using LLMs

Objective

Explore AI-assisted techniques to modernize Assembly programs into high-level language like C. Leverage recent advances in Large Language Models (LLMs) to generate human-readable, maintainable code from legacy systems. Evaluate how intermediate representations and prompt-based guidance can improve translation quality and developer productivity without requiring model retraining.

Outcome

Develop an experimental system that demonstrates the feasibility of using LLMs for Assembly code modernization. Compare multiple AI-assisted translation strategies to assess code quality, readability, and maintainability. Create a small benchmark dataset of Assembly and high-level language samples to support future research. Document findings through internal or academic research papers.