From the 1 of 5 linked papers with an AI index.
5 papers
Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study
Zahra Mousavi, Chadni Islam, M. Ali Babar +2
The paper empirically investigates how AI code assistants like GitHub Copilot influence professional developers' use of security APIs, finding modest functional benefits but limite…
Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis
Md. Samiul Islam, Iqbal H. Sarker, Chadni Islam +3
Large Language Models (LLMs), a part of artificial intelligence (AI), are increasingly being adopted by Small and Medium Enterprises (SMEs) to enhance question-answering capabiliti…
eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem
Sk Tanzir Mehedi, Raja Jurdak, Chadni Islam +2
The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote a…
SysPro: Reproducing System-level Concurrency Bugs from Bug Reports
Tarannum Shaila Zaman, Zhihui Yan, Chen Wang +3
Reproducing system-level concurrency bugs requires both input data and the precise interleaving order of system calls. This process is challenging because such bugs are non-determi…
Detecting Misuse of Security APIs: A Systematic Review
Zahra Mousavi, Chadni Islam, M. Ali Babar +2
Security Application Programming Interfaces (APIs) are crucial for ensuring software security. However, their misuse introduces vulnerabilities, potentially leading to severe data…