18 citations · 19 across the 3 of their papers we have counts for
4 papers
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…
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.…
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…
Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection
Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten +4
Code clones can detrimentally impact software maintenance and manually detecting them in very large codebases is impractical. Additionally, automated approaches find detection of T…