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Dr. Dimitrios Tsoukalas -
Publications

Journals

  1. D. Tsoukalas, N. Mittas, E. Arvanitou, A. Ampatzoglou, A. Chatzigeorgiou, D. Kehagias, "Local and Global Explainability for Technical Debt Identification.", IEEE Transactions on Software Engineering (TSE), vol. 50, no. 8, pp. 2110-2123, Aug. 2024. DOI: 10.1109/TSE.2024.3422427
  2. M. Siavvas, D. Tsoukalas, H. Marantos, L. Papadopoulos, C. Lamprakos, O. Matei, C. Strydis, M. Siddiqi, P. Chrobocinski, K. Filus, J. Domanska, P. Avgeriou, A. Ampatzoglou, D. Soudris, A. Chatzigeorgiou, E. Gelenbe, D. Kehagias, D. Tzovaras, "SDK4ED - A Platform for building Energy Efficient, Dependable, and Maintainable Embedded Software.", Journal of Systems and Software. DOI: 10.1007/s10515-024-00450-z
  3. M. Siavvas, D. Tsoukalas, I. Kalouptsoglou, E. Manganopoulou, G. Manolis, D. Kehagias, D. Tzovaras, "Security Monitoring during Software Development: An Industrial Case Study.", Applied Sciences. 2023; 13(12):6872. https://doi.org/10.3390/app13126872
  4. D. Tsoukalas, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, A. Ampatzoglou, "A practical approach for technical debt prioritization based on class-level forecasting.", In Journal of Software: Evolution and Process (JSME), Wiley, 2023;e2564. DOI: 10.1002/smr.2564
  5. M. Siavvas, D. Tsoukalas, M. Jankovic, D. Kehagias, D. Tzovaras, "Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises", Enterprise Information Systems. 16(5):1824017, 2022.
  6. I. Kalouptsoglou, D. Tsoukalas, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, A. Ampatzoglou, "Time Series Forecasting of Software Vulnerabilities Using Statistical and Deep Learning Models", . Electronics. 11(18):2820, 2022.
  7. D. Tsoukalas, N. Mittas, A. Chatzigeorgiou, D. Kehagias, A. Ampatzoglou, T. Amanatidis, L. Angelis, "Machine Learning for Technical Debt Identification", IEEE Transactions on Software Engineering (accepted for publication)(2022)
  8. D. Tsoukalas, M. Mathioudaki, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, "A clustering approach towards cross-project technical debt forecasting.", SN Computer Science, 2(1), 1-30. (2021)
  9. D. Tsoukalas, D. Kehagias, M. Siavvas, A. Chatzigeorgiou, "Technical Debt Forecasting: An empirical study on open-source repositories", In: Journal of Systems and Software, vol. 170, p. 110777 (2020). DOI https://doi.org/10.1016/j.jss.2020.110777
  10. M. Siavvas, D. Tsoukalas, M. Jankovic, D. Kehagias, D. Tzovaras, "Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises", Enterprise Information Systems 0(0), 1{43 (2020). DOI 10.1080/17517575.2020.1824017
  11. A. Salamanis, D. Kehagias, D. Tsoukalas, D. Tzovaras, "A Reputation Assessment Mechanism for Carpooling Applications based on clustering user travel preferences",International Journal of Transportation Science and Technology, Vol. 8, pp. 68–81, 2019.

Conference

  1. K. Georgiou, R. Rossini, M. Jahn, D. Tsoukalas, V. Voulgarakis, S. Tsekeridou, M. Aluas, A. Vontas, D. Kehagias, N. Mittas, A. Ampatzoglou, V. Kordoni, A. Chatzigeorgiou, L. Angelis, "SKILLAB: Creating a Skills Supply and Demand Data Space.", 4th Eclipse Security, AI, Architecture and Modelling Conference on Data Space (ESAAM24).
  2. M. Aluas, L. Angelis, I. Arapakis, E. Arvanitou, K. Georgiou, A. Gogos, M. Jahn, D. Kehagias, V. Kordoni, S. Macaluso, N. Mittas, V. Moumtzi, R. Rossini, S. Tsekeridou, D. Tsoukalas, C. Volioti, A. Vontas, V. Voulgarakis, "SKILLAB: Skills Matter.", 50th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA, 2024).
  3. M. Mathioudaki, D. Tsoukalas, M. Siavvas, D. Kehagias, "Comparing Univariate and Multivariate Time Series Models for Technical Debt Forecasting", in 22nd International Conference on Computational Science and Its Applications (ICCSA 2022), July 4 - 7, 2022, Malaga, Spain
  4. D. Tsoukalas, A. Chatzigeorgiou, A. Ampatzoglou, N. Mittas, D. Kehagias, "TD Classifier: Automatic Identification of Java Classes with High Technical Debt", 5th International Conference on Technical Debt (TechDebt2022), Sun 22 - Mon 23 May 2022, Pennsylvania, United States
  5. M. Siavvas, E. Gelenbe, D. Tsoukalas, I. Kalouptsoglou, M. Mathioudaki, M. Nakip, D. Kehagias, D. Tzovaras, "The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview", . In 2022 18th International Conference on the Design of Reliable Communication Networks (DRCN) 2022 Mar 28 (pp. 1-6). IEEE.
  6. C. Marantos, M. Siavvas, D. Tsoukalas, C. Lamprakos, L. Papadopoulos, P. Boryszko, K. Filus, J. Domanska, A. Ampatzoglou, A. Chatzigeorgiou, E.Gelenbe, D. Kehagias, D. Soudris, "SDK4ED: One-click platform forEnergy-aware, Maintainable and Dependable Applications", 25th Design,Automation and Test in Europe Conference (DATE '22), Belgium, 2022.
  7. M. Siavvas, I. Kalouptsoglou, D. Tsoukalas, D. Kehagias, "A self-adaptive approach for assessing thecriticality of security-related static analysis alerts", 21st International Conference on Computational Science and Applications (ICCSA 2021)
  8. M. Mathioudaki, D. Tsoukalas, M. Siavvas, D. Kehagias, "Technical Debt Forecasting based on Deep Learning Techniques", in 21st International Conference on Computational Science and Its Applications (ICCSA 2021)
  9. D. Tsoukalas, M. Siavvas, M. Mathioudaki, D. Kehagias, "An Ontology-based Approach for Automatic Specification, Verification, and Validation of Software Security Requirements: Preliminary Results", IEEE International Conference on Software Quality, Security, and Reliability, 2021, IEEE
  10. M. Jankovic, M. Siavvas, D. Tsoukalas, D. Kehagias, "Evaluating and Improving the Internal Security of OPC-UA based Software Applications", 10th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2020),Trabes France, November 17-20 2020.
  11. I. Kalouptsoglou, M. Siavvas, D. Tsoukalas, D. Kehagias, "Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning", In International Conference on Computational Science and Its Applications (pp. 877-893). Springer, Cham, 2020
  12. M. Siavvas, D. Tsoukalas, C. Marantos, A. Tsintzira, M. Jankovic, D. Soudris, A. Chatzigeorgiou, D. Kehagias, "The SDK4ED Platform for Embedded Software Quality Improvement-Preliminary Overview", In International Conference on Computational Science and Its Applications (pp. 1035-1050). Springer, Cham, 2020.
  13. D. Tsoukalas, M. Jankovic, M. Siavvas, D. Kehagias, A. Chatzigeorgiou, D. Tzovaras, "On the Applicability of Time Series Models for Technical Debt Forecasting",15th China-Europe International Symposium on Software Engineering Education (CEISEE). May 30 – 31, 2019.
  14. M. Jankovic, D. Kehagias, M. Siavvas, D. Tsoukalas, A. Chatzigeorgiou, "The SDK4ED Approach to Software Quality Optimization and Interplay Calculation", 15th China-Europe International Symposium on Software Engineering Education (CEISEE). May 30 – 31, 2019.
  15. M. Siavvas, D. Tsoukalas, M. Jankovic, D. Kehagias, A. Chatzigeorgiou, D. Tzovaras, N. Anicic, E. Gelenbe, "An Empirical Evaluation of the Relationship between Technical Debt and Software Security",9th International Conference on Information Society and Technology (ICIST2019), March, 10 – 13, 2019.
  16. D. Tsoukalas, M. Siavvas, M. Jankovic, D. Kehagias, A. Chatzigeorgiou, D. Tzovaras, "Methods and Tools for TD Estimation and Forecasting: A State-of-the-art Survey",In 2018 International Conference on Intelligent Systems (IS) (pp. 698-705). IEEE, (2018, September).
  17. D. Tsoukalas, A. Salamanis, D. Kehagias, D. Tzovaras, "A Maintainable and Secure Backend Infrastructure for Carpooling Applications", Transportation Research Arena 2018 (TRA 2018), Vienna, Austria, 16-19 April 2018.
  18. A. Salamanis, D. Tsoukalas, D. Kehagias, D. Tzovaras, "A Reputation Assessment System for Carpooling Applications", 8th International Congress on Transportation Research (ICTR 2017), Thessaloniki, Greece, 27–29 Sep. 2017.
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