MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications

Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024
Pages445-447
Number of pages3
ISBN (Electronic)9798350308181
DOIs
StatePublished - May 27 2024
Event17th IEEE Conference on Software Testing, Verification and Validation, ICST 2024 - Toronto, Canada
Duration: May 27 2024May 31 2024

Publication series

NameProceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024

Conference

Conference17th IEEE Conference on Software Testing, Verification and Validation, ICST 2024
Country/TerritoryCanada
CityToronto
Period5/27/245/31/24

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Software
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

Keywords

  • Extensible Framework to Test ML Programs
  • Healthcare Machine Learning Applications
  • Real Faults in ML Applications
  • Reproduce Real Faults

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