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ORCIDJosé D'Abruzzo Pereira
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2020 – today
- 2024
[c11]João Rafael Henriques, José D'Abruzzo Pereira, Marco Vieira
:
Mining Vulnerability and Code Repositories to Study Software Security. LADC 2024: 11-16- 2023
- [j2]Elder Rodrigues Jr., José D'Abruzzo Pereira, Leonardo Montecchi:
A Model-Driven Approach for the Management and Enforcement of Coding Conventions. IEEE Access 11: 25735-25754 (2023) - [c10]José D'Abruzzo Pereira, Marco Vieira:
An Approach to Characterize the Security of Open-Source Functions using LSP. ISSRE 2023: 137-147 - 2022
- [c9]José D'Abruzzo Pereira, Nuno Lourenço, Marco Vieira:
On the Use of Deep Graph CNN to Detect Vulnerable C Functions. LADC 2022: 45-50 - [c8]José D'Abruzzo Pereira, João David Ribeiro, João Pires, Pedro Moita, Nuno Laranjeiro, Marco Vieira:
On the use of the TMA Framework to promote self-adaptation capabilities in TalkConnect. LADC 2022: 89-90 - [c7]José D'Abruzzo Pereira, João Henggeler Antunes, Marco Vieira:
A Software Vulnerability Dataset of Large Open Source C/C++ Projects. PRDC 2022: 152-163 - 2021
- [j1]José D'Abruzzo Pereira, Naghmeh Ramezani Ivaki, Marco Vieira:
Characterizing Buffer Overflow Vulnerabilities in Large C/C++ Projects. IEEE Access 9: 142879-142892 (2021) - [c6]José D'Abruzzo Pereira, João R. Campos, Marco Vieira:
Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study. EDCC 2021: 1-8 - [c5]José D'Abruzzo Pereira, João Henggeler Antunes, Marco Vieira:
On Building a Vulnerability Dataset with Static Information from the Source Code. LADC 2021: 1-2 - 2020
- [c4]José D'Abruzzo Pereira, Marco Vieira:
On the Use of Open-Source C/C++ Static Analysis Tools in Large Projects. EDCC 2020: 97-102 - [c3]José D'Abruzzo Pereira, Rui Silva, Nuno Antunes, Jorge Luiz Machado da Silva, Breno de França, Regina Moraes, Marco Vieira:
A platform to enable self-adaptive cloud applications using trustworthiness properties. SEAMS@ICSE 2020: 71-77 - [c2]José D'Abruzzo Pereira:
Techniques and Tools for Advanced Software Vulnerability Detection. ISSRE Workshops 2020: 123-126
2010 – 2019
- 2019
- [c1]José D'Abruzzo Pereira, João R. Campos, Marco Vieira:
An Exploratory Study on Machine Learning to Combine Security Vulnerability Alerts from Static Analysis Tools. LADC 2019: 1-10
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