1
TÍTULO: Evaluating Deep Neural Networks in Deployment: A Comparative Study (Replicability Study)
AUTORES: Eduard Pinconschi; Divya Gopinath; Rui Abreu; Corina Pǎsǎreanu;
PUBLICAÇÃO: 2024, FONTE: 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024 in ISSTA 2024 - Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, VOLUME: 2
INDEXADO EM: Scopus CrossRef
2
TÍTULO: Tenet: A Flexible Framework for Machine-Learning-based Vulnerability Detection
AUTORES: Pinconschi, Eduard; Reis, Sofia; Zhang, Chi; Abreu, Rui; Erdogmus, Hakan; Pasareanu, Corina S.; Jia, Limin;
PUBLICAÇÃO: 2023, FONTE: IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI (CAIN) in 2023 IEEE/ACM 2ND INTERNATIONAL CONFERENCE ON AI ENGINEERING - SOFTWARE ENGINEERING FOR AI, CAIN
INDEXADO EM: Scopus WOS
3
TÍTULO: A transformer-based IDE plugin for vulnerability detection
AUTORES: Mamede, Claudia; Pinconschi, Eduard; Abreu, Rui ;
PUBLICAÇÃO: 2022, FONTE: 37th IEEE/ACM International Conference on Automated Software Engineering (ASE) in PROCEEDINGS OF THE 37TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, ASE 2022
INDEXADO EM: Scopus WOS CrossRef: 1
4
TÍTULO: Exploring Transformers for Multi-Label Classification of Java Vulnerabilities
AUTORES: Mamede, Claudia; Pinconschi, Eduard; Abreu, Rui ; Campos, Jose ;
PUBLICAÇÃO: 2022, FONTE: 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS) in 2022 IEEE 22ND INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY, QRS, VOLUME: 2022-December
INDEXADO EM: Scopus WOS CrossRef