3 papers
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.…
cs.SE2024
Using Ensemble Inference to Improve Recall of Clone Detection
Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han +4
Large-scale source-code clone detection is a challenging task. In our previous work, we proposed an approach (SSCD) that leverages artificial neural networks and approximates neare…