3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.SE2025
Can LLMs Replace Humans During Code Chunking?
Christopher Glasz, Emily Escamilla, Eric O. Scott +14
Large language models (LLMs) have become essential tools in computer science, especially for tasks involving code understanding and generation. However, existing work does not addr…
cs.LG2024★ 3 cited
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
Colin Diggs, Michael Doyle, Amit Madan +18
Legacy software systems, written in outdated languages like MUMPS and mainframe assembly, pose challenges in efficiency, maintenance, staffing, and security. While LLMs offer promi…