Taylor R. Schorlemmer

18 papers A* 2A 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Operationalizing Research Software for Supply Chain Security.
CoRR
Kelechi G. Kalu, Soham Rattan, Taylor R. Schorlemmer, George K. Thiruvathukal, Jeffrey C. Carver, James C. Davis
2025 J jnl
Establishing Provenance Before Coding: Traditional and Next-Generation Software Signing.
IEEE Secur. Priv.
Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis
2024 J jnl
Establishing Provenance Before Coding: Traditional and Next-Gen Signing.
CoRR
Taylor R. Schorlemmer, Ethan H. Burmane, Kelechi G. Kalu, Santiago Torres-Arias, James C. Davis
2024 J jnl
Reusing Deep Learning Models: Challenges and Directions in Software Engineering.
CoRR
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
2024 A* conf
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.
SP
Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abu Ishgair, Saurabh Bagchi, Santiago Torres-Arias, James C. Davis
2024 J jnl
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.
CoRR
Taylor R. Schorlemmer, Kelechi G. Kalu, Luke Chigges, Kyung Myung Ko, Eman Abdul-Muhd Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C. Davis
2024 J jnl
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties.
CoRR
Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis
2023 A* conf
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
ICSE
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023 J jnl
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry.
CoRR
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023 — conf
An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures.
SCORED@CCS
Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis
2023 J jnl
An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures.
CoRR
Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis
2023 A conf
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.
MSR
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023 J jnl
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages.
CoRR
Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis
2023 — conf
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.
ESEC/SIGSOFT FSE
Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, James C. Davis
2023 J jnl
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.
CoRR
Kelechi G. Kalu, Taylor R. Schorlemmer, Sophie Chen, Kyle A. Robinson, Erik Kocinare, James C. Davis
2023 — conf
Reusing Deep Learning Models: Challenges and Directions in Software Engineering.
JVA
James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal
2022 — conf
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain.
SCORED@CCS
Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
2022 — conf
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties.
SCORED@CCS
Chinenye Okafor, Taylor R. Schorlemmer, Santiago Torres-Arias, James C. Davis