All Stories

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