| 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 | 30 | 2020 |
| 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 | 24 | 2022 |
| 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 | 22 | 2019 |
| 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 | 20 | 2018 |
| Reputation assessment mechanism for carpooling applications based on clustering user travel preferences A Salamanis, DD Kehagias, D Tsoukalas, D Tzovaras International Journal of Transportation Science and Technology 8 (1), 68-81, 2019 | 17 | 2019 |
| 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 | 11 | 2020 |
| 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 | 10 | 2019 |
| 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 | 9 | 2021 |
| Machine learning for technical debt identification D Tsoukalas, N Mittas, A Chatzigeorgiou, D Kehagias, A Ampatzoglou, ... IEEE Transactions on Software Engineering 48 (12), 4892-4906, 2021 | 8 | 2021 |
| The sdk4ed platform for embedded software quality improvement-preliminary overview M Siavvas, D Tsoukalas, C Marantos, AA Tsintzira, M Jankovic, D Soudris, ... Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | 6 | 2020 |
| An ontology-based approach for automatic specification, verification, and validation of software security requirements: Preliminary results D Tsoukalas, M Siavvas, M Mathioudaki, D Kehagias 2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021 | 4 | 2021 |
| Technical debt forecasting based on deep learning techniques M Mathioudaki, D Tsoukalas, M Siavvas, D Kehagias Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 3 | 2021 |
| 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 | 3 | 2019 |
| TD classifier: automatic identification of Java classes with high technical debt D Tsoukalas, A Chatzigeorgiou, A Ampatzoglou, N Mittas, D Kehagias Proceedings of the International Conference on Technical Debt, 76-80, 2022 | 2 | 2022 |
| The IoTAC software security-by-design platform: Concept, challenges, and preliminary overview M Siavvas, E Gelenbe, D Tsoukalas, I Kalouptsoglou, M Mathioudaki, ... 2022 18th International Conference on the Design of Reliable Communication …, 2022 | 2 | 2022 |
| SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications C Marantos, M Siavvas, D Tsoukalas, CP Lamprakos, L Papadopoulos, ... 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 981-986, 2022 | 2 | 2022 |
| A self-adaptive approach for assessing the criticality of security-related static analysis alerts M Siavvas, I Kalouptsoglou, D Tsoukalas, D Kehagias Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 1 | 2021 |
| Time Series Forecasting of Software Vulnerabilities Using Statistical and Deep Learning Models I Kalouptsoglou, D Tsoukalas, M Siavvas, D Kehagias, A Chatzigeorgiou, ... Electronics 11 (18), 2820, 2022 | | 2022 |
| Comparing Univariate and Multivariate Time Series Models for Technical Debt Forecasting M Mathioudaki, D Tsoukalas, M Siavvas, D Kehagias Computational Science and Its Applications–ICCSA 2022 Workshops: Malaga …, 2022 | | 2022 |
| A study on machine learning techniques for technical debt estimation and forecasting D Tsoukalas Πανεπιστήμιο Μακεδονίας. Σχολή Επιστημών Πληροφορίας. Τμήμα Εφαρμοσμένης …, 2022 | | 2022 |
Miltiadis SiavvasPhD Candidate at Imperial College LondonVerified email at imperial.ac.uk
