| Deepcva: Automated commit-level vulnerability assessment with deep multi-task learning THM Le, D Hin, R Croft, MA Babar 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 45 | 2021 |
| Data quality for software vulnerability datasets R Croft, MA Babar, MM Kholoosi 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 38 | 2023 |
| Data preparation for software vulnerability prediction: A systematic literature review R Croft, Y Xie, MA Babar IEEE Transactions on Software Engineering 49 (3), 1044-1063, 2022 | 37 | 2022 |
| An empirical study of rule-based and learning-based approaches for static application security testing R Croft, D Newlands, Z Chen, MA Babar Proceedings of the 15th ACM/IEEE international symposium on empirical …, 2021 | 33 | 2021 |
| A large-scale study of security vulnerability support on developer q&a websites THM Le, R Croft, D Hin, MA Babar Proceedings of the 25th International Conference on Evaluation and …, 2021 | 19* | 2021 |
| Puminer: Mining security posts from developer question and answer websites with pu learning THM Le, D Hin, R Croft, MA Babar Proceedings of the 17th International Conference on Mining Software …, 2020 | 19 | 2020 |
| SmartValidator: A framework for automatic identification and classification of cyber threat data C Islam, MA Babar, R Croft, H Janicke Journal of Network and Computer Applications 202, 103370, 2022 | 15 | 2022 |
| An empirical study of developers’ discussions about security challenges of different programming languages R Croft, Y Xie, M Zahedi, MA Babar, C Treude Empirical Software Engineering 27, 1-52, 2022 | 13 | 2022 |
| An investigation into inconsistency of software vulnerability severity across data sources R Croft, MA Babar, L Li 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 12 | 2022 |
| Noisy label learning for security defects R Croft, MA Babar, H Chen Proceedings of the 19th International Conference on Mining Software …, 2022 | 9 | 2022 |
| Data quality for software vulnerability datasets. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) R Croft, MA Babar, MM Kholoosi IEEE, 2023 | 6 | 2023 |
| Data Quality for Data-Driven Software Vulnerability Analysis RL Croft | | 2023 |
M. Ali BabarProfessor of Software Engineering, The University of Adelaide, AustraliaVerified email at adelaide.edu.au
