All Stories

  1. TrustAI: An Expert-Based Methodology for Evaluating and Certifying the Trustworthiness of Artificial Intelligence Systems
  2. SKILLAB: Creating a Skills Supply and Demand Data Space
  3. Local and Global Explainability for Technical Debt Identification
  4. Security Monitoring during Software Development: An Industrial Case Study
  5. A practical approach for technical debt prioritization based on class‐level forecasting
  6. Time Series Forecasting of Software Vulnerabilities Using Statistical and Deep Learning Models
  7. TD classifier
  8. The IoTAC Software Security-by-Design Platform: Concept, Challenges, and Preliminary Overview
  9. SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications
  10. A Clustering Approach Towards Cross-Project Technical Debt Forecasting
  11. A Self-adaptive Approach for Assessing the Criticality of Security-Related Static Analysis Alerts
  12. Machine Learning for Technical Debt Identification
  13. Technical Debt Forecasting Based on Deep Learning Techniques
  14. Technical debt forecasting: An empirical study on open-source repositories
  15. Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises
  16. Cross-Project Vulnerability Prediction Based on Software Metrics and Deep Learning
  17. The SDK4ED Platform for Embedded Software Quality Improvement - Preliminary Overview
  18. Reputation assessment mechanism for carpooling applications based on clustering user travel preferences
  19. Methods and Tools for TD Estimation and Forecasting: A State-of-the-art Survey