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LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

  • Missouri University of Science and Technology
  • University of Nebraska Omaha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationFSE Companion 2026 - Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering
EditorsShin Hwei Tan, Foutse Khomh
PublisherAssociation for Computing Machinery, Inc
Pages1565-1572
Number of pages8
ISBN (Electronic)9798400726361
DOIs
StatePublished - Jul 17 2026
EventACM International Conference on the Foundations of Software Engineering, FSE 2026 - Montreal, Canada
Duration: Jul 5 2026Jul 9 2026

Publication series

NameFSE Companion 2026 - Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering

Conference

ConferenceACM International Conference on the Foundations of Software Engineering, FSE 2026
Country/TerritoryCanada
CityMontreal
Period7/5/267/9/26

ASJC Scopus Subject Areas

  • Software

Keywords

  • common weakness enumeration
  • GitHub security advisories
  • large language models
  • open source software
  • OWASP

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