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

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

doi:10.1109/ICST60714.2024.00050

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

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

School of Computing

University of North Florida

Producción científica: Literary contribution

Idioma original	English
Título de la publicación alojada	Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024
Páginas	445-447
Número de páginas	3
ISBN (versión digital)	9798350308181
DOI	https://doi.org/10.1109/ICST60714.2024.00050
Estado	Published - may 27 2024
Evento	17th IEEE Conference on Software Testing, Verification and Validation, ICST 2024 - Toronto, Canada Duración: may 27 2024 → may 31 2024

Serie de la publicación

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

Conference

Conference	17th IEEE Conference on Software Testing, Verification and Validation, ICST 2024
País/Territorio	Canada
Ciudad	Toronto
Período	5/27/24 → 5/31/24

ASJC Scopus Subject Areas

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

Acceder al documento

10.1109/ICST60714.2024.00050

Otros archivos y enlaces

Citar esto

Jaganathan, G. S., Kazi, N., Kahanda, I., & Kanewala, U. (2024). MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. En Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024 (pp. 445-447). (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024). https://doi.org/10.1109/ICST60714.2024.00050

MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. / Jaganathan, Guna Sekaran; Kazi, Nazmul; Kahanda, Indika et al.
Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. 2024. p. 445-447 (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024).

Producción científica: Literary contribution

Jaganathan, GS, Kazi, N, Kahanda, I & Kanewala, U 2024, MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. En Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024, pp. 445-447, 17th IEEE Conference on Software Testing, Verification and Validation, ICST 2024, Toronto, Canada, 5/27/24. https://doi.org/10.1109/ICST60714.2024.00050

Jaganathan GS, Kazi N, Kahanda I , Kanewala U. MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. En Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. 2024. p. 445-447. (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024). doi: 10.1109/ICST60714.2024.00050

Jaganathan, Guna Sekaran ; Kazi, Nazmul ; Kahanda, Indika et al. / MLHCBugs : A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. 2024. pp. 445-447 (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024).

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