5 citations · 7 across the 13 of their papers we have counts for
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MVD: A Multi-Lingual Software Vulnerability Detection Framework
Boyu Zhang, Triet H. M. Le, M. Ali Babar
Software vulnerabilities can result in catastrophic cyberattacks that increasingly threaten business operations. Consequently, ensuring the safety of software systems has become a…
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
Anh The Nguyen, Triet Huynh Minh Le, M. Ali Babar
Background: The C and C++ languages hold significant importance in Software Engineering research because of their widespread use in practice. Numerous studies have utilized Machine…
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
Triet H. M. Le, M. Ali Babar
Background: Software Vulnerability (SV) prediction needs large-sized and high-quality data to perform well. Current SV datasets mostly require expensive labeling efforts by experts…
Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration
Ali Kazemi Arani, Triet Huynh Minh Le, Mansooreh Zahedi +1
Context: Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights in specific phases. The rise of continuous practices in software projects emphas…
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
Triet H. M. Le, M. Ali Babar, Tung Hoang Thai
Background: Software Vulnerability (SV) prediction in emerging languages is increasingly important to ensure software security in modern systems. However, these languages usually h…
LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking
Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar
Log analysis is one of the main techniques that engineers use for troubleshooting large-scale software systems. Over the years, many supervised, semi-supervised, and unsupervised l…
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
Triet H. M. Le, Xiaoning Du, M. Ali Babar
Collecting relevant and high-quality data is integral to the development of effective Software Vulnerability (SV) prediction models. Most of the current SV datasets rely on SV-fixi…