Welcome to the third installment of our data-driven testing series with Alchemy! In this video, we delve into advanced techniques for generating and using random data in your automated tests.
In This Video:
Creating a Synthetic Data Source:
Learn how to create a random data source in Alchemy.
Step-by-step process of adding fields such as first name, last name, email, and phone number with specific data types.
Understand how Alchemy's AI generates realistic and typical names.
Configuring Data Fields:
How to define custom data fields when predefined data types aren't available.
Example of creating a user-defined data type for phone numbers.
Using Generated Data in Tests:
Integrating the synthetic data source into your test functions.
Adjusting test functions to work with new data fields.
Running tests with the generated synthetic data.
Scaling Up Data Generation:
How to increase the number of records in your synthetic data source.
Exporting synthetic data to a CSV file for repeatability in future tests.
This video is perfect for testers looking to enhance their test automation by incorporating more sophisticated data-driven techniques. With Alchemy, creating and managing test data becomes seamless and efficient.
Stay Tuned:
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To start at the beginning of this series on data driven testing, please see
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