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20222026
most citedHow Quickly Do Development Teams Update Their Vulnerable Dependencies?

6 citations · 8 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

CHRONO-RESOLUTION: A Dependency Resolution Dataset at Release Points for npm, PyPI, and crates.io Packages

Imranur Rahman, Jill Marley, Ranindya Paramitha +1

Dependency resolution at a specified point in time in the past can provide insight into software evolution in software ecosystems and facilitate the design of dynamic metrics (e.g.…

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…

cs.SE2024★ 6 cited

How Quickly Do Development Teams Update Their Vulnerable Dependencies?

Imranur Rahman, Ranindya Paramitha, Nusrat Zahan +2

Industry practitioners are increasingly concerned with software that contains vulnerable versions of third-party dependencies that are included both directly and transitively. To a…

cs.SE2022★ 2 cited

On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Background: Testing and validation of the semantic correctness of patches provided by tools for Automated Program Repairs (APR) has received a lot of attention. Yet, the eventual a…