Miltiadis Siavvas
Title
Cited by
Cited by
Year
Static analysis-based approaches for secure software development
M Siavvas, E Gelenbe, D Kehagias, D Tzovaras
International ISCIS Security Workshop, 142-157, 2018
352018
QATCH-An adaptive framework for software product quality assessment
MG Siavvas, KC Chatzidimitriou, AL Symeonidis
Expert Systems with Applications 86, 350-366, 2017
332017
Optimum checkpoints for programs with loops
M Siavvas, E Gelenbe
Simulation Modelling Practice and Theory 97, 101951, 2019
122019
An empirical evaluation of the relationship between technical debt and software security
M Siavvas, D Tsoukalas, M Jankovic, D Kehagias, A Chatzigeorgiou, ...
9th International Conference on Information society and technology (ICIST) 2019, 2019
122019
Methods and Tools for TD Estimation and Forecasting: A State-of-the-art Survey
D Tsoukalas, M Siavvas, M Jankovic, D Kehagias, A Chatzigeorgiou, ...
2018 International Conference on intelligent systems (IS), 698-705, 2018
102018
Optimum interval for application-level checkpoints
M Siavvas, E Gelenbe
2019 6th IEEE International Conference on Cyber Security and Cloud Computing …, 2019
82019
A preliminary study on the relationship among software metrics and specific vulnerability types
M Siavvas, D Kehagias, D Tzovaras
2017 International Conference on Computational Science and Computational …, 2017
72017
On the relationship between software security and energy consumption
M Siavvas, C Marantos, L Papadopoulos, D Kehagias, D Soudris, ...
15th China-Europe International Symposium on software engineering education, 2019
52019
Is Popularity an Indicator of Software Security?
M Siavvas, M Jankovic, D Kehagias, D Tzovaras
2018 International Conference on intelligent systems (IS), 692-697, 2018
52018
Technical debt forecasting: an empirical study on open-source repositories
D Tsoukalas, D Kehagias, M Siavvas, A Chatzigeorgiou
Journal of Systems and Software 170, 110777, 2020
42020
On the applicability of time series models for technical debt forecasting
D Tsoukalas, M Jankovic, M Siavvas, D Kehagias, A Chatzigeorgiou, ...
15th China-Europe International Symposium on Software Engineering Education …, 2019
42019
Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks
D Kehagias, M Jankovic, M Siavvas, E Gelenbe
SN Computer Science 2 (1), 1-6, 2021
22021
The random neural network as a bonding model for software vulnerability prediction
K Filus, M Siavvas, J Domańska, E Gelenbe
Symposium on Modelling, Analysis, and Simulation of Computer and …, 2020
22020
Optimum checkpoints for time and energy
E Gelenbe, P Boryszko, M Siavvas, J Domanska
2020 28th International Symposium on Modeling, Analysis, and Simulation of …, 2020
22020
Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises
M Siavvas, D Tsoukalas, M Jankovic, D Kehagias, D Tzovaras
Enterprise Information Systems, 1-43, 2020
22020
Cross-project vulnerability prediction based on software metrics and deep learning
I Kalouptsoglou, M Siavvas, D Tsoukalas, D Kehagias
International Conference on Computational Science and Its Applications, 877-893, 2020
22020
Static analysis for facilitating secure and reliable software
M Siavvas
Imperial College London, 2019
22019
The SDK4ED approach to software quality optimization and interplay calculation
M Jankovic, D Kehagias, M Siavvas, D Tsoukalas, A Chatzigeorgiou
15th China-Europe International Symposium on software engineering education, 2019
22019
A clustering approach towards cross-project technical debt forecasting
D Tsoukalas, M Mathioudaki, M Siavvas, D Kehagias, A Chatzigeorgiou
SN Computer Science 2 (1), 1-30, 2021
12021
The SDK4ED Platform for Embedded Software Quality Improvement-Preliminary Overview
M Siavvas, D Tsoukalas, C Marantos, AA Tsintzira, M Jankovic, D Soudris, ...
International Conference on Computational Science and Its Applications, 1035 …, 2020
12020
The system can't perform the operation now. Try again later.
Articles 1–20