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Roland Croft
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2020 – today
- 2024
- [i11]M. Mehdi Kholoosi, Muhammad Ali Babar, Roland Croft:
A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality. CoRR abs/2408.00435 (2024) - 2023
- [j3]Roland Croft, Yongzheng Xie, Muhammad Ali Babar:
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review. IEEE Trans. Software Eng. 49(3): 1044-1063 (2023) - [c7]Roland Croft, Muhammad Ali Babar, M. Mehdi Kholoosi:
Data Quality for Software Vulnerability Datasets. ICSE 2023: 121-133 - [i10]Roland Croft, Muhammad Ali Babar, M. Mehdi Kholoosi:
Data Quality for Software Vulnerability Datasets. CoRR abs/2301.05456 (2023) - 2022
- [j2]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): 27 (2022) - [j1]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: 103370 (2022) - [c6]Roland Croft, Muhammad Ali Babar, Huaming Chen:
Noisy Label Learning for Security Defects. MSR 2022: 435-447 - [c5]Roland Croft, Muhammad Ali Babar, Li Li:
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources. SANER 2022: 338-348 - [i9]Roland Croft, Muhammad Ali Babar, Huaming Chen:
Noisy Label Learning for Security Defects. CoRR abs/2203.04468 (2022) - [i8]Chadni Islam, Muhammad Ali Babar, Roland Croft, Helge Janicke:
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data. CoRR abs/2203.07603 (2022) - 2021
- [c4]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: 109-118 - [c3]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: 8:1-8:12 - [c2]Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar:
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. ASE 2021: 717-729 - [i7]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 abs/2107.01921 (2021) - [i6]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 abs/2107.13723 (2021) - [i5]Triet Huynh Minh Le, David Hin, Roland Croft, Muhammad Ali Babar:
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. CoRR abs/2108.08041 (2021) - [i4]Roland Croft, Yongzheng Xie, Muhammad Ali Babar:
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review. CoRR abs/2109.05740 (2021) - [i3]Roland Croft, Muhammad Ali Babar, Li Li:
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources. CoRR abs/2112.10356 (2021) - 2020
- [c1]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: 350-361 - [i2]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 abs/2003.03741 (2020) - [i1]Triet Huynh Minh Le, Roland Croft, David Hin, Muhammad Ali Babar:
Demystifying the Mysteries of Security Vulnerability Discussions on Developer Q&A Sites. CoRR abs/2008.04176 (2020)
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