3 citations · 4 across the 5 of their papers we have counts for
7 papers
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…
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…
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Legacy software systems, written in outdated languages like MUMPS and mainframe assembly, pose challenges in efficiency, maintenance, staffing, and security.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…
Automated Evaluation of Web Site Accessibility Using A Dynamic Accessibility Measurement Crawler
Trevor Bostic, Jeffrey Stanley, John Higgins +3
Achieving accessibility compliance is extremely important for many government agencies and businesses who wish to improve services for their consumers. With the growing reliance on…
Introducing A Dark Web Archival Framework
Justin F. Brunelle, Ryan Farley, Grant Atkins +3
We present a framework for web-scale archiving of the dark web. While commonly associated with illicit and illegal activity, the dark web provides a way to privately access web inf…
Exploring the Intersections of Web Science and Accessibility
Trevor Bostic, Jeff Stanley, John Higgins +3
The web is the prominent way information is exchanged in the 21st century. However, ensuring web-based information is accessible is complicated, particularly with web applications…