52 citations · 53 across the 4 of their papers we have counts for
5 papers
Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions
Utku Boran Torun, Veli Karakaya, Ali Babar +1
Large Language Models (LLMs) are increasingly embedded in software engineering (SE) tools, powering applications such as code generation, automated code review, and bug triage. As…
Defending SDN against packet injection attacks using deep learning
Anh Tuan Phu, Bo Li, Faheem Ullah +4
The (logically) centralised architecture of the software-defined networks makes them an easy target for packet injection attacks. In these attacks, the attacker injects malicious p…
Runtime Software Patching: Taxonomy, Survey and Future Directions
Chadni Islam, Victor Prokhorenko, M. Ali Babar
Runtime software patching aims to minimize or eliminate service downtime, user interruptions and potential data losses while deploying a patch. Due to modern software systems' high…
Deep Learning Methods for Credit Card Fraud Detection
Thanh Thi Nguyen, Hammad Tahir, Mohamed Abdelrazek +1
Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and…
Mechanism Design for Public Projects via Neural Networks
Guanhua Wang, Runqi Guo, Yuko Sakurai +2
We study mechanism design for nonexcludable and excludable binary public project problems. We aim to maximize the expected number of consumers and the expected social welfare. For…