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What is Testing Machine Learning Based Systems: A Systematic Mapping about?

This document presents a systematic mapping study on testing techniques for Machine Learning based Systems (MLSs), highlighting the unique challenges they pose in safety-critical domains. It identifies 70 relevant studies, categorizes the existing solutions for functional testing, and discusses open challenges in the field, such as realistic input generation and reliable evaluation metrics. The research aims to structure and unify the literature to enhance understanding and accessibility of MLS testing tech

Author

Jab 357

Language

EN