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Taylor R. Schorlemmer
Taylor R. Schorlemmer
Graduate Student, Purdue University
Dirección de correo verificada de purdue.edu - Página principal
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An empirical study of pre-trained model reuse in the hugging face deep learning model registry
W Jiang, N Synovic, M Hyatt, TR Schorlemmer, R Sethi, YH Lu, ...
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
352023
Sok: Analysis of software supply chain security by establishing secure design properties
C Okafor, TR Schorlemmer, S Torres-Arias, JC Davis
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive …, 2022
232022
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain
W Jiang, N Synovic, R Sethi, A Indarapu, M Hyatt, TR Schorlemmer, ...
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive …, 2022
162022
Reusing deep learning models: Challenges and directions in software engineering
JC Davis, P Jajal, W Jiang, TR Schorlemmer, N Synovic, ...
2023 IEEE John Vincent Atanasoff International Symposium on Modern Computing …, 2023
102023
PTMTorrent: a dataset for mining open-source pre-trained model packages
W Jiang, N Synovic, P Jajal, TR Schorlemmer, A Tewari, B Pareek, ...
2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023
72023
An empirical study on using large language models to analyze software supply chain security failures
T Singla, D Anandayuvaraj, KG Kalu, TR Schorlemmer, JC Davis
Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research …, 2023
42023
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors
TR Schorlemmer, KG Kalu, L Chigges, KM Ko, EAMA Isghair, S Baghi, ...
arXiv preprint arXiv:2401.14635, 2024
22024
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering
K Kalu, TR Schorlemmer, S Chen, KA Robinson, E Kocinare, JC Davis
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
2023
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