Roland Croft

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 20

Top Topics

Top Venues

Publications

Roland Croft, Muhammad Ali Babar, M. Mehdi Kholoosi
Data Quality for Software Vulnerability Datasets. ICSE (2023)
Roland Croft, Yongzheng Xie, Muhammad Ali Babar
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review. IEEE Trans. Software Eng. 49 (3) (2023)
Roland Croft, Muhammad Ali Babar, M. Mehdi Kholoosi
Data Quality for Software Vulnerability Datasets. CoRR (2023)
Roland Croft, Muhammad Ali Babar, Huaming Chen
Noisy Label Learning for Security Defects. MSR (2022)
Roland Croft, Muhammad Ali Babar, Li Li
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources. SANER (2022)
Roland Croft, Muhammad Ali Babar, Huaming Chen
Noisy Label Learning for Security Defects. CoRR (2022)
Roland Croft, Yongzheng Xie, Mansooreh Zahedi, Muhammad Ali Babar, Christoph Treude
An empirical study of developers' discussions about security challenges of different programming languages. Empir. Softw. Eng. 27 (1) (2022)
Chadni Islam, Muhammad Ali Babar, Roland Croft, Helge Janicke
SmartValidator: A framework for automatic identification and classification of cyber threat data. J. Netw. Comput. Appl. 202 (2022)
Chadni Islam, Muhammad Ali Babar, Roland Croft, Helge Janicke
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data. CoRR (2022)
Roland Croft, Yongzheng Xie, Muhammad Ali Babar
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review. CoRR (2021)
Roland Croft, Yongzheng Xie, Mansooreh Zahedi, Muhammad Ali Babar, Christoph Treude
An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages. CoRR (2021)
Roland Croft, Muhammad Ali Babar, Li Li
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources. CoRR (2021)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. ASE (2021)
Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar
A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites. EASE (2021)
Roland Croft, Dominic Newlands, Ziyu Chen, Muhammad Ali Babar
An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing. ESEM (2021)
Roland Croft, Dominic Newlands, Ziyu Chen, Muhammad Ali Babar
An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing. CoRR (2021)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. CoRR (2021)
Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q&A Sites. CoRR (2020)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. CoRR (2020)
Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning. MSR (2020)