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

Research article (Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2023) · cited 22× · AI/ML
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An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

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An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-on-using-large-language-models-to-analyze-software-supply-chain-security-failures
MLA “An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-on-using-large-language-models-to-analyze-software-supply-chain-security-failures.
BibTeX @misc{4ortxyz_an-empirical-study-on-using-large-language-models-to-analyze-software-supply-chain-security-failures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-on-using-large-language-models-to-analyze-software-supply-chain-security-failures}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures — https://4ort.xyz/entity/an-empirical-study-on-using-large-language-models-to-analyze-software-supply-chain-security-failures (retrieved 2026-05-24)

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