You’ve written a large suite of test cases over the last few months. But every time someone changes the data model or wipes the database, you find yourself working extra hours to fix broken test cases! Test cases that were once consistent, reliable, and passing now look like a wasteland of red fail.
Success in automated testing is tightly bound to how you interact with data, also known as your “Data Strategy”.
In this presentation we’ll walk through several data strategies and their pros and cons. We’ll talk about the constraints you experience in your environment and how to mix and match strategies appropriately.
Join us to explore Data Strategies!
- 3-4 Formal Data Strategies attendees can use in their environments.
- The Pros and Cons of each Data Strategy.
- An understanding of the types of constraints to consider when choosing a data strategy