3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SE2025
Impact of Comments on LLM Comprehension of Legacy Code
Rock Sabetto, Emily Escamilla, Devesh Agarwal +18
Large language models (LLMs) have been increasingly integrated into software engineering and maintenance tasks due to their high performance with software engineering tasks and rob…
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Legacy software systems, written in outdated languages like MUMPS and mainframe assembly, pose challenges in efficiency, maintenance, staffing, and security.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…
cs.SE2024
Testing the Effect of Code Documentation on Large Language Model Code Understanding
William Macke, Michael Doyle
Large Language Models (LLMs) have demonstrated impressive abilities in recent years with regards to code generation and understanding. However, little work has investigated how doc…