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Publications

Földvári A, Pataricza A. 2025. Model-driven, logic-supported exploratory dependability analysis. VERDI 2025. Publications

Földvári A, Pataricza A. 2025. Model-driven, logic-supported exploratory dependability analysis. VERDI 2025.

Conference: 3rd International Workshop on Verification & Validation of Dependable Cyber-Physical Systems (VERDI 2025), co-located with the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2025), 23. June 2025, Naples, Italy Authors: Földvári A, Pataricza A. Abstract: Analyzing empirical dependability data now exceeds domain experts’ capabilities without adequate…
Apostolidis G, Siavvas M, Kalouptsoglou I, Tsoukalas D, Chatzigeorgiou A, Ampatzoglou A, Kehagias D, Tzovaras D. On the capacity of Technical Debt to indicate security issues in open-source software products. 2025. QUATIC 2025. Publications

Apostolidis G, Siavvas M, Kalouptsoglou I, Tsoukalas D, Chatzigeorgiou A, Ampatzoglou A, Kehagias D, Tzovaras D. On the capacity of Technical Debt to indicate security issues in open-source software products. 2025. QUATIC 2025.

Conference: 18th International Conference on the Quality of Information and Communications Technology (QUATIC 2025) Authors: Apostolidis G, Siavvas M, Kalouptsoglou I, Tsoukalas D, Chatzigeorgiou A, Ampatzoglou A, Kehagias D, Tzovaras D. Abstract: Technical Debt (TD) arises from insufficient design and poor coding practices, affecting important software quality attributes. As systems…
Apostolidis G, Kalouptsoglou I, Siavvas M, Kehagias D, Tzovaras D. 2025. AI-Enhanced Static Analysis: Reducing False Alarms Using Large Language Models. LIFESEC 2025. Publications

Apostolidis G, Kalouptsoglou I, Siavvas M, Kehagias D, Tzovaras D. 2025. AI-Enhanced Static Analysis: Reducing False Alarms Using Large Language Models. LIFESEC 2025.

Conference: Workshop on Whole-Lifecycle Security for Smart Systems: Methods and Tools (LIFESEC2025) at the 11th International Conference on Smart Computing (SMARTCOMP2025) , 16. June 2025, Cork, Ireland Authors: Apostolidis G, Kalouptsoglou I, Siavvas M, Kehagias D, Tzovaras D. Abstract: In modern software systems, early and accurate vulnerability detection is crucial.…
Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. Transfer Learning for Software Vulnerability Prediction using Transformer Models. Journal of Systems and Software 2025. Publications

Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. 2025. Transfer Learning for Software Vulnerability Prediction using Transformer Models. Journal of Systems and Software 2025.

Journal: Journal of Systems and Software, Volume 227, September 2025, 112448 Authors: Kalouptsoglou I, Siavvas M, Ampatzoglou A, Kehagias D, Chatzigeorgiou A. Abstract: Recently software security community has exploited text mining and deep learning methods to identify vulnerabilities. To this end, the progress in the field of Natural Language Processing (NLP)…
Luo T, Wang J, Yan Z, Gelenbe E. 2025. Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions. IEEE Network Magazine 2025. Publications

Luo T, Wang J, Yan Z, Gelenbe E. 2025. Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions. IEEE Network Magazine 2025.

Journal: IEEE Network Magazine Authors: Luo T, Wang J, Yan Z, Gelenbe E. Abstract: The process of quantifying trust considers the factors that affect it, which can be applied to identify malicious behavior, reduce uncertainty, and facilitate decision-making. Traditional trust evaluation methods based on statistics and reasoning, rely heavily on domain…