Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning Tsoukalas, and Dionysios Kehagias

von Kalouptsoglou, Ilias
Veröffentlicht in ICCSA (20. : 2020 : Online) Computational science and Its applications - ICCSA 2020 ; Part 4 (2020)

Comparing Univariate and Multivariate Time Series Models for Technical Debt Forecasting

von Mathioudaki, Maria
Veröffentlicht in International Conference on Computational Science and its Applications (22. : 2022 : Málaga; Online) Computational science and its applications - ICCSA 2022 workshops ; Part 4 (2022)

A Self-adaptive Approach for Assessing the Criticality of Security-Related Static Analysis Alerts

von Siavvas, Miltiadis
Veröffentlicht in ICCSA (21. : 2021 : Cagliari; Online) Computational science and its applications - ICCSA 2021 ; Part 7 (2021)

The Random Neural Network as a Bonding Model for Software Vulnerability Prediction

von Filus, Katarzyna
Veröffentlicht in MASCOTS (28. : 2020 : Online) Modelling, analysis, and simulation of computer and telecommunication systems (2021)

Technical Debt Forecasting Based on Deep Learning Techniques

von Mathioudaki, Maria
Veröffentlicht in ICCSA (21. : 2021 : Cagliari; Online) Computational science and its applications - ICCSA 2021 ; Part 7 (2021)

An Empirical Evaluation of the Usefulness of Word Embedding Techniques in Deep Learning-Based Vulnerability Prediction

von Kalouptsoglou, Ilias
Veröffentlicht in EuroCybersec (2. : 2021 : Nizza) Security in computer and information sciences (2022)

The SDK4ED Platform for Embedded Software Quality Improvement - Preliminary Overview

von Siavvas, Miltiadis
Veröffentlicht in ICCSA (20. : 2020 : Online) Computational science and Its applications - ICCSA 2020 ; Part 4 (2020)