Taylor R. Schorlemmer

Orcid: 0000-0003-2181-5527

According to our database1, Taylor R. Schorlemmer authored at least 8 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors.
CoRR, 2024

2023
Reflecting on the Use of the Policy-Process-Product Theory in Empirical Software Engineering.
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.
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.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Reusing Deep Learning Models: Challenges and Directions in Software Engineering.
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.
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.
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.
Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022


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