José D'Abruzzo Pereira

According to our database, José D'Abruzzo Pereira authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Leveraging Large Language Models for Trustworthiness Assessment of Web Applications.

Oleksandr Yarotskyi, José D'Abruzzo Pereira, João R. Campos

CoRR, March, 2026

2025

An Empirical Study of Large Language Models as Experts in Software Trustworthiness Assessment.

Saeed Javani Jananloo, José D'Abruzzo Pereira, Marco Vieira

Proceedings of the Dependable and Secure Computing - 14th Latin-American Symposium, 2025

2024

Mining Vulnerability and Code Repositories to Study Software Security.

João Rafael Henriques, José D'Abruzzo Pereira, Marco Vieira

Proceedings of the 13th Latin-American Symposium on Dependable and Secure Computing, 2024

2023

A Model-Driven Approach for the Management and Enforcement of Coding Conventions.

Elder Rodrigues Jr., José D'Abruzzo Pereira, Leonardo Montecchi

IEEE Access, 2023

An Approach to Characterize the Security of Open-Source Functions using LSP.

José D'Abruzzo Pereira, Marco Vieira

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022

A Software Vulnerability Dataset of Large Open Source C/C++ Projects.

José D'Abruzzo Pereira, João Henggeler Antunes, Marco Vieira

Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

On the use of the TMA Framework to promote self-adaptation capabilities in TalkConnect.

José D'Abruzzo Pereira, João David Ribeiro, João Pires, Pedro Moita, Nuno Laranjeiro, Marco Vieira

Proceedings of the 11th Latin-American Symposium on Dependable Computing, 2022

On the Use of Deep Graph CNN to Detect Vulnerable C Functions.

José D'Abruzzo Pereira, Nuno Lourenço, Marco Vieira

Proceedings of the 11th Latin-American Symposium on Dependable Computing, 2022

2021

Characterizing Buffer Overflow Vulnerabilities in Large C/C++ Projects.

José D'Abruzzo Pereira, Naghmeh Ramezani Ivaki, Marco Vieira

IEEE Access, 2021

On Building a Vulnerability Dataset with Static Information from the Source Code.

José D'Abruzzo Pereira, João Henggeler Antunes, Marco Vieira

Proceedings of the 10th Latin-American Symposium on Dependable Computing, 2021

Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study.

José D'Abruzzo Pereira, João R. Campos, Marco Vieira

Proceedings of the 17th European Dependable Computing Conference, 2021

2020

Techniques and Tools for Advanced Software Vulnerability Detection.

José D'Abruzzo Pereira

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

A platform to enable self-adaptive cloud applications using trustworthiness properties.

José D'Abruzzo Pereira, Rui Silva, Nuno Antunes, Jorge Luiz Machado da Silva, Breno de França, Regina Moraes, Marco Vieira

Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020

On the Use of Open-Source C/C++ Static Analysis Tools in Large Projects.

José D'Abruzzo Pereira, Marco Vieira

Proceedings of the 16th European Dependable Computing Conference, 2020

2019

An Exploratory Study on Machine Learning to Combine Security Vulnerability Alerts from Static Analysis Tools.

José D'Abruzzo Pereira, João R. Campos, Marco Vieira

Proceedings of the 9th Latin-American Symposium on Dependable Computing, 2019