| 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 | 33 | 2023 |
| 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 | 22 | 2022 |
| 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 | 15 | 2022 |
| 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 | 8 | 2023 |
| 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 | 7 | 2023 |
| 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 | 4 | 2023 |
| 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 | 1 | 2024 |
| 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 |
James C DavisAssistant Professor of ECE, Purdue UniversityVerified email at purdue.edu
