Filus K, Boryszko P, Domańska J, Siavvas M, Gelenbe E.  2021.  Efficient Feature Selection for Static Analysis Vulnerability Prediction. Sensors. 21 (4)(Special Issue: Security and Privacy in Software Based Critical Contexts) (1.37 MB)

Kehagias D, Jankovic M, Siavvas M, Gelenbe E.  2021.  Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks. SN Computer Science . 2(1) (981.91 KB)

Gelenbe E, Siavvas M.  2021.  Minimizing Energy and Computation in Long-Running Software. Applied Sciences. 11(3) (853.84 KB)

Filus K, Siavvas M, Domańska J, Gelenbe E.  2021.  The Random Neural Network as a Bonding Model for Software Vulnerability Prediction. Modelling, Analysis, and Simulation of Computer and Telecommunication Systems. 12527:102-116. (690.95 KB)

Gelenbe E, Siavvas M, Boryszko P, Domańska J.  2020.  Optimum checkpoints for time and energy. IEEE MASCOTS 2020.  (557.59 KB)

Siavvas M, Gelenbe E.  2019.  Optimum checkpoints for programs with loops. Simulation Modelling Practice and Theory. 97

Siavvas M, Gelenbe E, Kehagias D, Tzovaras D.  2018.  Static Analysis-Based Approaches for Secure Software Development. 1st International Symposia on Computer and Information Sciences, ISCIS 2018.