Technical Debt Forecasting Based on Deep Learning Techniques. - Maria Mathioudaki; Dimitrios Tsoukalas; Miltiadis G. Siavvas; Dionisis D. Kehagias (ICCSA (7), 2021)

An Ontology-based Approach for Automatic Specification, Verification, and Validation of Software Security Requirements: Preliminary Results. - Dimitrios Tsoukalas; Miltiadis G. Siavvas; Maria Mathioudaki; Dionisis D. Kehagias (QRS Companion, 2021)

A Clustering Approach Towards Cross-Project Technical Debt Forecasting. - Dimitrios Tsoukalas; Maria Mathioudaki; Miltiadis G. Siavvas; Dionisis D. Kehagias; Alexander Chatzigeorgiou (SN Comput. Sci., 2021)

The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview. - Miltiadis G. Siavvas; Erol Gelenbe; Dimitrios Tsoukalas; Ilias Kalouptsoglou; Maria Mathioudaki; Mert Nakip; Dionisis D. Kehagias; Dimitrios Tzovaras (DRCN, 2022)

Comparing Univariate and Multivariate Time Series Models for Technical Debt Forecasting. - Maria Mathioudaki; Dimitrios Tsoukalas; Miltiadis G. Siavvas; Dionisis D. Kehagias (ICCSA (Workshops 4), 2022)