1 citations · 1 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…
BoostNSift: A Query Boosting and Code Sifting Technique for Method Level Bug Localization
Abdul Razzaq, Jim Buckley, James Vincent Patten +2
Locating bugs is an important, but effort-intensive and time-consuming task, when dealing with large-scale systems. To address this, Information Retrieval (IR) techniques are incre…