On effort-aware metrics for defect prediction J Çarka, M Esposito, D Falessi Empirical Software Engineering 27 (6), 152, 2022 | 12 | 2022 |
Enhancing the defectiveness prediction of methods and classes via JIT D Falessi, SM Laureani, J Çarka, M Esposito, DA Costa Empirical Software Engineering 28 (2), 37, 2023 | 4 | 2023 |
Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched Methods M Esposito, D Falessi 2023 IEEE 23rd International Working Conference on Source Code Analysis and …, 2023 | 2 | 2023 |
Can We Trust the Default Vulnerabilities Severity? M Esposito, S Moreschini, V Lenarduzzi, D Hästbacka, D Falessi 2023 IEEE 23rd International Working Conference on Source Code Analysis and …, 2023 | 2 | 2023 |
An Extensive Comparison of Static Application Security Testing Tools M Esposito, V Falaschi, D Falessi arXiv preprint arXiv:2403.09219, 2024 | 1 | 2024 |
Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study M Esposito, F Palagiano arXiv preprint arXiv:2403.15756, 2024 | | 2024 |
VALIDATE: A deep dive into vulnerability prediction datasets M Esposito, D Falessi Information and Software Technology, 107448, 2024 | | 2024 |
QCSHQD: Quantum computing as a service for Hybrid classical-quantum software development: A Vision MT Sabzevari, M Esposito, AA Khan, D Taibi arXiv preprint arXiv:2403.08663, 2024 | | 2024 |