Proyectos por año
Perfil personal
Biography
Upulee received her Ph.D. in Computer Science from Colorado State University in 2015, a Master of Science in Computer Engineering from Purdue University in 2010, and a Bachelor of Science in Computer Engineering from University of Peradeniya, Sri Lanka in 2007. She has published multiple peer- reviewed articles and book chapters on Metamorphic Testing including the first paper on automatic detection of Metamorphic Relations.
Documentos relacionados
Cuantificación de educación / académica
Computer Science, PhD, Colorado State University - Fort Collins
ago 2011 → may 2015
Electrical and Computer Engineering, MS
ago 2008 → may 2010
Engineering (Computer Engineering), BS
sept 2002 → ago 2007
Proyectos
- 1 Terminado
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CRII: SHF: Toward Sustainable Software for Science - Implementing and Assessing Systematic Testing Approaches for Scientific Software
Kanewala, U. (PI)
3/1/17 → 2/28/21
Proyecto: Research project
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Improving Early Fault Detection in Machine Learning Systems Using Data Diversity-Driven Metamorphic Relation Prioritization
Srinivasan, M. & Kanewala, U., sept 2024, En: Electronics (Switzerland). 13, 17, 3380.Producción científica: Article › revisión exhaustiva
Acceso abierto -
Improving the Efficacy of Testing Scientific Software: Insights from Mutation Testing
Roker, K. & Kanewala, U., may 27 2024, Proceedings - 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024. p. 273-282 10 p. (Proceedings - 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2024).Producción científica: Literary contribution
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MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications
Jaganathan, G. S., Kazi, N., Kahanda, I. & Kanewala, U., may 27 2024, Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. p. 445-447 3 p. (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024).Producción científica: Literary contribution
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Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications
Jaganathan, G. S., Kazi, N., Kahanda, I. & Kanewala, U., may 27 2024, Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. p. 430-433 4 p. (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024).Producción científica: Literary contribution
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A Test Suite Minimization Technique for Testing Numerical Programs
Saha, P., Izurieta, C. & Kanewala, U., 2023, Proceedings - 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications, SERA 2023. Song, Y.-T., Rhee, J. & Jeon, Y. (eds.). p. 61-68 8 p. (Proceedings - 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications, SERA 2023).Producción científica: Literary contribution
Conjuntos de datos
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Dataset for Automated Medical Transcription
Kazi, N. (Contributor), Kuntz, M. (Contributor), Kanewala, U. (Contributor), Kahanda, I. (Contributor) & Arzubi, E. (Contributor), ZENODO, nov 18 2020
DOI: 10.5281/zenodo.4279041, https://zenodo.org/record/4279041
Dataset