An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures-Reference-Cited by-同舟云学术

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses
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Author:

Singla Tanmay¹^ORCID,Anandayuvaraj Dharun¹^ORCID,Kalu Kelechi G.¹^ORCID,Schorlemmer Taylor R.¹^ORCID,Davis James C.¹^ORCID

Affiliation:

1. Purdue University, West Lafayette, IN, USA

Funder

Google

NSF

Cisco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605770.3625214

Reference95 articles.

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3. D. Anandayuvaraj and J. C. Davis . Reflecting on Recurring Failures in IoT Development . In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, ASE '22 , pages 1 -- 5 , New York, NY, USA , Jan. 2023 . Association for Computing Machinery. D. Anandayuvaraj and J. C. Davis. Reflecting on Recurring Failures in IoT Development. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, ASE '22, pages 1--5, New York, NY, USA, Jan. 2023. Association for Computing Machinery.

4. Incorporating Failure Knowledge into Design Decisions for IoT Systems: A Controlled Experiment on Novices

5. Anthropic. Introducing claude. https://www.anthropic.com/index/introducingclaude? 2023 . Accessed : 2023-07-06. Anthropic. Introducing claude. https://www.anthropic.com/index/introducingclaude? 2023. Accessed: 2023-07-06.

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