A comparative study of automatic program repair techniques for security vulnerabilities E Pinconschi, R Abreu, P Adão 2021 IEEE 32nd international symposium on software reliability engineering …, 2021 | 11 | 2021 |
Exploring transformers for multi-label classification of Java vulnerabilities C Mamede, E Pinconschi, R Abreu, J Campos 2022 IEEE 22nd International Conference on Software Quality, Reliability and …, 2022 | 4 | 2022 |
A transformer-based IDE plugin for vulnerability detection C Mamede, E Pinconschi, R Abreu Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 4 | 2022 |
Maestro: A platform for benchmarking automatic program repair tools on software vulnerabilities E Pinconschi, QC Bui, R Abreu, P Adão, R Scandariato Proceedings of the 31st ACM SIGSOFT international symposium on software …, 2022 | 4 | 2022 |
Tenet: A Flexible Framework for Machine-Learning-based Vulnerability Detection E Pinconschi, S Reis, C Zhang, R Abreu, H Erdogmus, CS Păsăreanu, ... 2023 IEEE/ACM 2nd International Conference on AI Engineering–Software …, 2023 | | 2023 |
A Comparative Study of Automatic Software Repair Techniques for Security Faults EC Pinconschi | | 2021 |
Labeling Software Security Vulnerabilities N Irena Bojanova, J Guerrerio, E Pinconschi | | |
2023 IEEE/ACM 2nd International Conference on AI Engineering–Software Engineering for AI (CAIN)| 979-8-3503-0113-7/23/$31.00© 2023 IEEE| DOI: 10.1109/CAIN58948. 2023.00037 R Abreu, C Akiki, H Aldebes, A Badii, J Bogner, M Borg, L Boué, B Brown, ... | | |