Taylor R. Schorlemmer

According to our database, Taylor R. Schorlemmer authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Establishing Provenance Before Coding: Traditional and Next-Gen Signing.

Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis

CoRR, 2024

Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.

Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abdul-Muhd Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C. Davis

CoRR, 2024

Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.

Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abu Ishgair, Saurabh Bagchi, Santiago Torres-Arias, James C. Davis

Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023

Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.

Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, James C. Davis

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures.

Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis

Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2023

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.

Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Reusing Deep Learning Models: Challenges and Directions in Software Engineering.

James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal

Proceedings of the IEEE John Vincent Atanasoff International Symposium on Modern Computing, 2023

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.

Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties.

Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis

Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022

An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain.

Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis

Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022