3 papers
cs.CR2025
Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches
Ranindya Paramitha, Yuan Feng, Fabio Massacci
Vulnerability datasets used for ML testing implicitly contain retrospective information. When tested on the field, one can only use the labels available at the time of training and…
cs.SE2024
Forecasting the risk of software choices: A model to foretell security vulnerabilities from library dependencies and source code evolution
Carlos E. Budde, Ranindya Paramitha, Fabio Massacci
Software security mainly studies vulnerability detection: is my code vulnerable today? This hinders risk estimation, so new approaches are emerging to forecast the occurrence of fu…
cs.SE2024
Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics
Ranindya Paramitha, Yuan Feng, Fabio Massacci +1
Context: Software of different functional categories, such as text processing vs. networking, has different profiles in terms of metrics like security and updates. Using popularity…