Explore strategies for managing test data effectively in this 29-minute PyCon US talk. Learn to differentiate between product and test case data, determine optimal data preparation methods, and utilize data for test control and product state reflection. Discover techniques for handling hard-coded values, data discovery, and shared data collision avoidance. Gain insights into factors influencing data management decisions and best practices for configuration metadata and test case values. Apply these language-agnostic strategies to improve test data handling, ensuring cleaner and more efficient testing processes across various projects.
Overview
Syllabus
Intro
My French Bulldog
My Car
About Me
Visual AI
Test Automation University
Overview
Example
Test Data
Dependency
Managing Test Data
Product Data
Bank Data
Data Prep Strategies
Factors to Consider
Test Case Data
Best Practices
Configuration Metadata
Test Case Values
Discovery
Summary
Additional Considerations
Wrap Up
Taught by
PyCon US
