When you start working with your application, you’ll naturally progress from basic testing to more comprehensive evaluation. This journey helps you build confidence in your application’s performance and systematically improve its behavior. As you advance, you’ll find that organizing your test cases into datasets becomes essential for effective experimentation - allowing you to track performance, identify patterns, and measure improvements over time.
1

Initial Testing

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.
2

Expanding Test Coverage

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.
3

Finding and Fixing Issues

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 datasets
  • 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.
4

Continuous Improvement

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.

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Next steps

Create a Dataset

Learn how to create and manage datasets in Galileo.

Run an Experiment in the Console

Learn how to run experiments in the Galileo Console.

Run an Experiment with Code

Learn how to run experiments in Galileo.

Compare Experiments with Code

Learn how to compare experiments in Galileo.