About Me
My name is Roland Croft and I am currently working as an applied scientist at Swordfish Computing, in which I help drive innovation for defence technology.
I graduated with a PhD in Computer Science from the University of Adelaide, with the CREST research group and the Cybersecurity Cooperative Research Centre. My PhD research focused on the use of AI and data driven techniques to achieve software security. I collect and analyze open source security intelligence to power machine learning techniques for software security analytics.
My research interests particularly lie in the application of data-centric AI and machine learning for solving real-world problems. I believe that most challenges can be solved through proper use and anaylsis of data. Outside of this, I am also interested in various other empirical software engineering topics.
Publications
Full Conference Papers
- A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality (2024)
M. Mehdi Kholoosi, M. Ali Babar, Roland Croft
In Proceedings of the IEEE 6th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA)
[PDF] - Data Quality for Software Vulnerability Datasets (2023)
Roland Croft, M. Ali Babar, M. Mehdi Kholoosi
In Proceedings of the 45th International Conference on Software Engineering (ICSE)
[PDF] [GitHub] - Noisy Label Learning for Security Defects (2022)
Roland Croft, M. Ali Babar, Huaming Chen
In Proceedings of the 19th International Conference on Mining Software Repositories (MSR)
[PDF] [Video] [GitHub] - An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources (2022)
Roland Croft, M. Ali Babar, Li Li
In Proceedings of the 29th International Conference on Software Analysis, Evolution and Reengineering (SANER)
[PDF] [Video] [GitHub] - An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing (2021)
Roland Croft, Dominic Newlands, Ziyu Chen, M. Ali Babar
In Proceedings of the 15th International Symposium on Empirical Software Engineering and Measurement (ESEM)
[PDF] [Video] - DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning (2021)
Triet Le, David Hin, Roland Croft, M. Ali Babar
In Proceedings of the 36th International Conference on Automated Software Engineering (ASE)
[PDF] [Video] [GitHub] - A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites (2021)
Triet Le, Roland Croft, David Hin, M. Ali Babar
In Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE)
[PDF] [Video] [GitHub] - PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning (2020)
Triet Le, David Hin, Roland Croft, M. Ali Babar
In Proceedings of the 17th International Conference on Mining Software Repositories (MSR)
[PDF] [Video] [GitHub]
Journal Papers
- SmartValidator: A framework for automatic identification and classification of cyber threat data (2022)
Chadni Islam, M. Ali Babar, Roland Croft, Helge Janicke
Journal of Network and Computer Applications (JNCA)
[PDF] - An Empirical Study of Developers’ Discussions about Security Challenges of Different Programming Languages (2022)
Roland Croft, Yongzheng Xie, Mansooreh Zahedi, M. Ali Babar, Christoph Treude
Empirical Software Engineering (EMSE)
[PDF] [Video] - Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review (2021)
Roland Croft, Yongzheng Xie, M. Ali Babar
Transactions on Software Engineering (TSE)
[PDF]
Awards
- (2023) University of Adelaide Doctoral Research Medal
- (2023) Dean’s Commendation of Research Excellence
- (2019 - 2023) Cyber Security CRC Research Scholarship
- (2019) University of Adelaide Undergraduate Medal