Taylor R. Schorlemmer

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Influencing Factors

Software Engineering

Top Venues

Publications

Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abdul-Muhd Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C. Davis
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors. CoRR (2024)
Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis
Establishing Provenance Before Coding: Traditional and Next-Gen Signing. CoRR (2024)
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR (2024)
Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties. CoRR (2024)
Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis
An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures. CoRR (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE (2023)
Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, James C. Davis
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering. ESEC/SIGSOFT FSE (2023)
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA (2023)
Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis
An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures. SCORED@CCS (2023)
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR (2023)
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR (2023)
Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle Robinson, Erik Kocinare, James C. Davis
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering. CoRR (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR (2023)
Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS (2022)
Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties. SCORED@CCS (2022)