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Miltiadis Siavvas
Miltiadis Siavvas
Senior Researcher at Centre for Research and Technology Hellas (CERTH)
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
QATCH-An adaptive framework for software product quality assessment
MG Siavvas, KC Chatzidimitriou, AL Symeonidis
Expert Systems with Applications 86, 350-366, 2017
692017
Static analysis-based approaches for secure software development
M Siavvas, E Gelenbe, D Kehagias, D Tzovaras
Security in Computer and Information Sciences: First International ISCIS …, 2018
482018
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
422020
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 16 (5), 1824017, 2022
402022
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
302019
Efficient feature selection for static analysis vulnerability prediction
K Filus, P Boryszko, J Domańska, M Siavvas, E Gelenbe
Sensors 21 (4), 1133, 2021
292021
Optimum checkpoints for programs with loops
M Siavvas, E Gelenbe
Simulation Modelling Practice and Theory 97, 101951, 2019
262019
A hierarchical model for quantifying software security based on static analysis alerts and software metrics
M Siavvas, D Kehagias, D Tzovaras, E Gelenbe
Software Quality Journal 29 (2), 431-507, 2021
252021
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
232018
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
232017
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), 23, 2021
202021
Cross-project vulnerability prediction based on software metrics and deep learning
I Kalouptsoglou, M Siavvas, D Tsoukalas, D Kehagias
Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020
182020
Optimum interval for application-level checkpoints
M Siavvas, E Gelenbe
2019 6th IEEE International Conference on Cyber Security and Cloud Computing …, 2019
172019
The random neural network as a bonding model for software vulnerability prediction
K Filus, M Siavvas, J Domańska, E Gelenbe
Modelling, Analysis, and Simulation of Computer and Telecommunication …, 2021
152021
An empirical evaluation of the usefulness of word embedding techniques in deep learning-based vulnerability prediction
I Kalouptsoglou, M Siavvas, D Kehagias, A Chatzigeorgiou, ...
International ISCIS Security Workshop, 23-37, 2021
142021
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
142020
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
142019
Examining the capacity of text mining and software metrics in vulnerability prediction
I Kalouptsoglou, M Siavvas, D Kehagias, A Chatzigeorgiou, ...
Entropy 24 (5), 651, 2022
132022
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
112019
A clustering approach towards cross-project technical debt forecasting
D Tsoukalas, M Mathioudaki, M Siavvas, D Kehagias, A Chatzigeorgiou
SN Computer Science 2 (1), 22, 2021
102021
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