AI Testing without test data is just "A"
Test data management is a pain in the a$$. We have avoided it, we have looked the other way, and now it's time to finally solve the problem. Why?
It seems that the construction and execution of automated tests are becoming more dependable. AI-based techniques to enhance human-in-the-loop test construction have significantly reduced the time to develop and maintain tests. The fact of the matter is low-code/no-code approaches have introduced a new level of confidence when it comes to automation. Now there is just one thing missing - test data.
Can I use production data? Nope.
Can I manually crank an excel sheet? Sure, but now coverage suffers.
This talk will cover the latest advancement in test data automation. A technique that in combination with an Open Testing Platform takes a demand-based approach to the curation of data. New advancement allows teams to manage a meta catalog of test data. With dynamic allocation, we can now learn from the test suite to deliver data the optimizes coverage and reduces business risk.
What you will learn:
How a meta catalog learns from data sources When to leverage various data fulfillment techniques for testing How dynamic allocation with an Open Testing Platform makes open-source tools awesome!
About the speakers
Wayne Ariola is a recognized thought leader on software testing topics such as continuous testing, risk-based testing, service virtualization, API testing and open testing platforms. Wayne has created and marketed products that support the dynamic software development, test, and delivery landscape. He has driven the design of many innovative technologies and received several patents for his inventions. He has been a contributor to the software testing space many years and in the software industry for more than 20 years. Connect with him on LinkedIn.