Metamorphic Testing for Machine Learning Based System

Metamorphic Testing for Machine Learning Based System

Publish Date: November 30, 2022

Machine Learning based systems have potentially huge input spaces with probabilistic outcomes from ML models. To test such probabilistic systems, Metamorphic testing is used to describe the system functionality in terms of generic relations between inputs, the generic transformations of those inputs and their outputs, rather than as mappings of specific inputs to specific outputs.

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Authors

Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.

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