Overview

Start with the basics. Run your application with simple test cases to get a feel for how it performs. This is like taking your first steps:

• Test with straightforward, expected inputs
• Watch how your application behaves in ideal conditions
• Look for any immediate issues or unexpected behaviors
• Get comfortable with your metrics and what they tell you

This phase helps you establish a baseline for what “good” looks like.

Once you’re comfortable with basic testing, it’s time to broaden your horizons. This is where Galileo’s dataset features become valuable:

• Introduce more complex and varied inputs
• Use Galileo’s datasets to organize and maintain test cases
• Or bring your own dataset if you already have test data
• Run experiments to look for patterns in how your application handles different types of inputs

Think of this as stress-testing your application across a wide range of scenarios.

As you test more extensively, you’ll discover areas where your application needs improvement:

• Identify specific inputs that cause problems
• Add these inputs to a dataset
• Look for patterns in problematic cases
• Track how your fixes perform against these problem cases
• Build a library of test cases for regression testing

This systematic approach helps you not only fix issues but also prevent them from recurring.

Now you’re in a cycle of continuous improvement:

• Regularly run tests against your datasets
• Monitor for new issues or patterns
• Quickly identify when changes cause problems
• Maintain datasets that represent your key test cases
• Track your app’s improving performance over time

This ongoing process helps ensure your application keeps getting better while maintaining quality.