Ranindya Paramitha

According to our database, Ranindya Paramitha authored at least 28 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Research Directions in Software Supply Chain Security.

Laurie A. Williams, Giacomo Benedetti, Sivana Hamer, Ranindya Paramitha, Imranur Rahman, Mahzabin Tamanna, Greg Tystahl, Nusrat Zahan, Patrick Morrison, Yasemin Acar, Michel Cukier, Christian Kästner, Alexandros Kapravelos, Dominik Wermke, William Enck

ACM Trans. Softw. Eng. Methodol., June, 2025

Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 4: Poppler Dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci

Dataset, June, 2025

Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 2: Linux dataset).

anonymous, Ranindya Paramitha, Yuan Feng, Fabio Massacci

Dataset, February, 2025

Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 4: Poppler Dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci

Dataset, February, 2025

Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 3: OpenSSL dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci

Dataset, February, 2025

Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 3: OpenSSL dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci

Dataset, January, 2025

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

Proc. ACM Softw. Eng., 2025

2024

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

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Empir. Softw. Eng., September, 2024

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

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Dataset, May, 2024

Today's cat is tomorrow's dog: accounting for time-based changes in the labels of ML vulnerability detection approaches (Replication Package Part 2: Linux dataset).

anonymous, Ranindya Paramitha, Yuan Feng, Fabio Massacci

Dataset, April, 2024

APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities.

Quang-Cuong Bui, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci, Riccardo Scandariato

Empir. Softw. Eng., February, 2024

Artefact for "Addressing Combinatorial Experiments and Scarcity of Subjects by Provably Orthogonal and Crossover Experimental Designs".

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Dataset, February, 2024

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

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Dataset, February, 2024

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

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Dataset, February, 2024

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

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Dataset, February, 2024

[DEPRECATED] A manually-curated categorisation of Java Maven libraries along Python PyPI Topics (dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci, Carlos E. Budde

Dataset, January, 2024

Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics (dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci, Carlos E. Budde

Dataset, January, 2024

Addressing combinatorial experiments and scarcity of subjects by provably orthogonal and crossover experimental designs.

Fabio Massacci, Aurora Papotti, Ranindya Paramitha

J. Syst. Softw., 2024

Known Vulnerabilities of Open Source Projects: Where Are the Fixes?

Antonino Sabetta, Serena Elisa Ponta, Rocío Cabrera Lozoya, Michele Bezzi, Tommaso Sacchetti, Matteo Greco, Gergö Balogh, Péter Hegedüs, Rudolf Ferenc, Ranindya Paramitha, Ivan Pashchenko, Aurora Papotti, Ákos Milánkovich, Fabio Massacci

IEEE Secur. Priv., 2024

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

CoRR, 2024

Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics.

Ranindya Paramitha, Yuan Feng, Fabio Massacci, Carlos E. Budde

CoRR, 2024

Hash4Patch: A Lightweight Low False Positive Tool for Finding Vulnerability Patch Commits.

Simone Scalco, Ranindya Paramitha

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

Technical leverage analysis in the Python ecosystem.

Ranindya Paramitha, Fabio Massacci

Empir. Softw. Eng., November, 2023

A manually-curated categorisation of Java Maven libraries along Python PyPI Topics (dataset).

Ranindya Paramitha, Yuan Feng, Fabio Massacci, Carlos E. Budde

Dataset, August, 2023

Technical Leverage Analysis in the Python Ecosystem.

Ranindya Paramitha, Fabio Massacci

Dataset, July, 2023

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

Aurora Papotti, Ranindya Paramitha, Fabio Massacci

Dataset, June, 2023

2022

On the feasibility of detecting injections in malicious npm packages.

Simone Scalco, Ranindya Paramitha, Duc-Ly Vu, Fabio Massacci

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

Lightweight Parsing and Slicing for Bug Identification in C.

Luca Mecenero, Ranindya Paramitha, Ivan Pashchenko, Fabio Massacci

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022