Stop Testing Components. Start Testing Outputs.
📰 Medium · Data Science
Shift your testing focus from components to outputs to ensure your system works as expected for the end-user
Action Steps
- Identify the key outputs of your system
- Determine the desired behavior of each output
- Design tests that validate the outputs against the desired behavior
- Implement output-level testing in your development workflow
- Monitor and analyze the results of output-level testing to improve system performance
Who Needs to Know This
Data scientists and engineers benefit from this approach as it helps ensure the overall system's reliability and performance, rather than just individual components
Key Insight
💡 Output-level testing provides a more comprehensive understanding of system performance than component-level validation
Share This
💡 Stop testing components, start testing outputs to ensure your system works as expected #DataScience #Testing
Key Takeaways
Shift your testing focus from components to outputs to ensure your system works as expected for the end-user
Full Article
Component-level validation gives you false confidence. If your validation doesn’t reach the consumer, you’re not testing your system. Continue reading on Write A Catalyst »
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