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ORCIDMatteo Esposito 0001
Person information
- affiliation: University of Oulum Finland
Other persons with the same name
- Matteo Esposito 0002 — Politecnico di Milano, Milan, Italy
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2020 – today
- 2025
[j4]Naeem Ullah, Siffat Ullah Khan, Mahmood Niazi, Matteo Esposito, Arif Ali Khan, Jamal Abdul Nasir:
Solutions toCybersecurity Challenges in Secure Vehicle-to-Vehicle Communications: A Multivocal Literature Review. Inf. Softw. Technol. 179: 107639 (2025)- 2024
- [j3]Matteo Esposito
, Davide Falessi:
VALIDATE: A deep dive into vulnerability prediction datasets. Inf. Softw. Technol. 170: 107448 (2024) - [c8]Matteo Esposito, Valentina Falaschi, Davide Falessi:
An Extensive Comparison of Static Application Security Testing Tools. EASE 2024: 69-78 - [c7]Matteo Esposito, Francesco Palagiano:
Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study. EASE 2024: 442-445 - [c6]Matteo Esposito, Francesco Palagiano, Valentina Lenarduzzi, Davide Taibi:
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis. ESEM 2024: 517-527 - [c5]Muhammad Azeem Akbar, Matteo Esposito, Sami Hyrynsalmi, Karthikeyan Dinesh Kumar, Valentina Lenarduzzi, Xiaozhou Li, Ali Mehraj, Tommi Mikkonen, Sergio Moreschini, Niko Mäkitalo, Markku Oivo, Anna-Sofia Paavonen, Risha Parveen, Kari Smolander, Ruoyu Su, Kari Systä, Davide Taibi, Nan Yang, Zheying Zhang, Muhammad Zohaib:
6GSoft: Software for Edge-to-Cloud Continuum. SEAA 2024: 499-506 - [c4]Matteo Esposito, Maryam Tavassoli Sabzevari, Boshuai Ye, Davide Falessi, Arif Ali Khan, Davide Taibi:
𝐶𝑙𝑎𝑠𝑠𝑖|𝑄⟩: Towards a Translation Framework to Bridge the Classical-Quantum Programming Gap. QSE-NE@SIGSOFT FSE 2024 - [c3]Maryam Tavassoli Sabzevari, Matteo Esposito, Davide Taibi, Arif Ali Khan:
QCSHQD: Quantum Computing as a Service for Hybrid Classical-Quantum Software Development: A Vision. QSE-NE@SIGSOFT FSE 2024 - [i10]Maryam Tavassoli Sabzevari, Matteo Esposito, Arif Ali Khan, Davide Taibi:
QCSHQD: Quantum computing as a service for Hybrid classical-quantum software development: A Vision. CoRR abs/2403.08663 (2024) - [i9]Matteo Esposito, Valentina Falaschi, Davide Falessi:
An Extensive Comparison of Static Application Security Testing Tools. CoRR abs/2403.09219 (2024) - [i8]Matteo Esposito, Francesco Palagiano:
Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study. CoRR abs/2403.15756 (2024) - [i7]Matteo Esposito, Maryam Tavassoli Sabzevari, Boshuai Ye, Davide Falessi, Arif Ali Khan, Davide Taibi:
Classi|Q⟩ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap. CoRR abs/2406.06764 (2024) - [i6]Matteo Esposito, Francesco Palagiano, Valentina Lenarduzzi:
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis. CoRR abs/2406.10273 (2024) - [i5]Matteo Esposito, Mikel Robredo, Francesca Arcelli Fontana, Valentina Lenarduzzi:
On the correlation between Architectural Smells and Static Analysis Warnings. CoRR abs/2406.17354 (2024) - [i4]Muhammad Azeem Akbar, Matteo Esposito, Sami Hyrynsalmi, Karthikeyan Dinesh Kumar, Valentina Lenarduzzi, Xiaozhou Li, Ali Mehraj, Tommi Mikkonen, Sergio Moreschini, Niko Mäkitalo, Markku Oivo, Anna-Sofia Paavonen, Risha Parveen, Kari Smolander, Ruoyu Su, Kari Systä, Davide Taibi, Nan Yang, Zheying Zhang, Muhammad Zohaib:
6GSoft: Software for Edge-to-Cloud Continuum. CoRR abs/2407.05963 (2024) - [i3]Matteo Esposito, Andrea Janes, Davide Taibi, Valentina Lenarduzzi:
Generative AI in Evidence-Based Software Engineering: A White Paper. CoRR abs/2407.17440 (2024) - [i2]Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi:
In Search of Metrics to Guide Developer-Based Refactoring Recommendations. CoRR abs/2407.18169 (2024) - [i1]Xiaozhou Li, Matteo Esposito, Andrea Janes, Valentina Lenarduzzi:
The Dual-Edged Sword of Technical Debt: Benefits and Issues Analyzed Through Developer Discussions. CoRR abs/2407.21007 (2024) - 2023
- [j2]Davide Falessi, Simone Mesiano Laureani, Jonida Çarka, Matteo Esposito, Daniel Alencar da Costa:
Enhancing the defectiveness prediction of methods and classes via JIT. Empir. Softw. Eng. 28(2): 37 (2023) - [c2]Matteo Esposito, Sergio Moreschini, Valentina Lenarduzzi, David Hästbacka, Davide Falessi:
Can We Trust the Default Vulnerabilities Severity? SCAM 2023: 265-270 - [c1]Matteo Esposito, Davide Falessi:
Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched Methods. SCAM 2023: 277-282 - 2022
- [j1]Jonida Çarka, Matteo Esposito, Davide Falessi:
On effort-aware metrics for defect prediction. Empir. Softw. Eng. 27(6): 152 (2022)
Coauthor Index
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