3 papers
cs.SE2026
A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions
Muslim Chochlov, Michael English, Jim Buckley
Context. Large language models (LLMs) are increasingly applied to code-generating tasks (CGTs) in software engineering. While reported results are promising, the broader effects of…
cs.SE2025
Selecting and Combining Large Language Models for Scalable Code Clone Detection
Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten +4
Source code clones pose risks ranging from intellectual property violations to unintended vulnerabilities. Effective and efficient scalable clone detection, especially for diverged…
cs.SE2025
Industrial-Scale Neural Network Clone Detection with Disk-Based Similarity Search
Gul Aftab Ahmed, Muslim Chochlov, Abdul Razzaq +5
Code clones are similar code fragments that often arise from copy-and-paste programming. Neural networks can classify pairs of code fragments as clone/not-clone with high accuracy.…