It’s not a bug, it’s an environment problem. Environments are costly and data refreshes tedious. As a result, quality assurance professionals have to make compromises and work in environments that have a different makeup than the production environment, which can create false positives and/or bugs to be missed.
This presentation will help quality assurance professionals learn how to mitigate the lack of data refreshes by creating their modular test cases and use parameters to dissociate the data from the test cases and therefore be able to work with data that you do have in other environments. It will also show how to setup automation to dissociate data from automation code.
Additionally, it will dive into how to maximize the environments quality assurance professionals currently have and align them to their testing process to do feature testing and regression efficiently. Finally, it will help those in attendance understand the potential limitations on testing in less than ideal environments, set expectations and make cases to get more environments and more frequent data refreshes when possible.