Testing and Quality Assurance of ML Applications
We want to use these responses as inputs for our upcoming workshop on this topic and improve ML testing adequacy and Quality Assurance.  If you have questions, please reach out to me sandyasm@gmail.com
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What is your role in developing  ML applications?
Clear selection
What are the testing tools and frameworks you use in your ML work?
Do you test explicitly for data quality?
Clear selection
What tools do you use for data quality testing?
Do you perform ML application coverage testing?
Clear selection
(5) Do you do fairness testing?
Clear selection
What tools/framework do you use for fairness testing?
Do you explicitly test for DNN properties like:
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Do you do adversarial testing of your ML application?
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How do you generate adversarial examples for testing?
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Do you do test prioritization or test selection?
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What tools do you use for test prioritization/test selection?
Which of the following testing do you do? (Tick all that is applicable)
Do you think there are adequate standard testing tools and frameworks available for ML application development and deployment?
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What tools/frameworks do you recommend for testing and Quality Assurance of ML applications?
What kind of tools do you think the community needs for quality assurance of ML applications?
Your comments/feedback on this survey
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