This is the technique of Machine Learning which has been used for BlackBox testing. Testing the models with new test data sets and then comparing their behavior to ensure their accuracy comes under model performance testing. It looks like it could be the work of a QA test / technical expert in the field of Artificial Intelligence.īlack Box and White Box Testing through Machine Learning Therefore, techniques such as BlackBox and white box testing have been applied and quality control checks are performed on machine learning models. Machine learning development requires extensive use of data and algorithms that demand in-depth monitoring of functions not always known to the tester themselves.
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Among other software testing techniques, black-box testing of machine learning models is budding as a quality assurance approach that evaluates the model’s functioning without internal knowledge. Under software testing, the application of AI is channelized to make software development lifecycles easier and more efficient.
It is an important aspect in today's world because learning requires intelligence to make decisions. Machine learning is a subset of Artificial Intelligence (AI), that focuses on machines making critical decisions on the basis of complex and previously-analyzed data.
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