Eduard Pinconschi

According to our database, Eduard Pinconschi authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Deep Neural Networks in Deployment (A Comparative and Replicability Study).

Eduard Pinconschi, Divya Gopinath, Rui Abreu, Corina S. Pasareanu

CoRR, 2024

Evaluating Deep Neural Networks in Deployment: A Comparative Study (Replicability Study).

Eduard Pinconschi, Divya Gopinath, Rui Abreu, Corina S. Pasareanu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

A Study of Fine-Tuned Language Models in Vulnerability Classification.

Onyeka Ezenwoye, Eduard Pinconschi

Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

2023

Tenet: A Flexible Framework for Machine-Learning-based Vulnerability Detection.

Eduard Pinconschi, Sofia Reis, Chi Zhang, Rui Abreu, Hakan Erdogmus, Corina S. Pasareanu, Limin Jia

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

Exploring Transformers for Multi-Label Classification of Java Vulnerabilities.

Cláudia Mamede, Eduard Pinconschi, Rui Abreu, José Campos

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

A transformer-based IDE plugin for vulnerability detection.

Cláudia Mamede, Eduard Pinconschi, Rui Abreu

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Maestro: a platform for benchmarking automatic program repair tools on software vulnerabilities.

Eduard Pinconschi, Quang-Cuong Bui, Rui Abreu, Pedro Adão, Riccardo Scandariato

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

A Comparative Study of Automatic Program Repair Techniques for Security Vulnerabilities.

Eduard Pinconschi, Rui Abreu, Pedro Adão

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021