Adigun, J. G., Philip Huck, T., Camilli, M., & Felderer, M. (2023). Risk-driven online testing and test case diversity analysis for ml-enabled critical systems. 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) (pp. 344–354). doi:10.1109/ISSRE59848.2023.00017
Code DOI Testing Machine Learning