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AscentialTest Seminar 16: Zee Language Basics
AscentialTest provides an automated testing platform where robust and flexible tests can be developed with drag and drop. Yet there are some situations where using the Zee Language can be a benefit to making tests more efficient.
AscentialTest Seminar 15: Handling Gnarly Test API Issues
Sometimes an application under test stops responding to the testing tool. Although it is not a common problem, when it occurs, it can be frustrating to figure out what has gone wrong and determine a solution. Fortunately these issues fit a few patterns that have become better understood over time. This presentation shares several workarounds to gnarly problems.
AscentialTest Seminar 14: Using RenderText and RenderImage
AscentialTest provides two powerful features for recognizing images and text that are implemented as non-standard application elements. In this presentation, participants will learn how to extend AscentialTest object recognition by using these features.
AscentialTest Seminar 13: Using Condition, Indirection and Dynamic Instantiation in Zee
Efficiency can be gained in testing projects by increasing re-usability to reduce the number of steps. Reuse is increased by building flexible steps that respond to test data inputs and refer to objects indirectly.
AscentialTest Seminar 12: How to Design Tests in a Dynamic Application Environment
Dynamic application environments can make the task of predicting results difficult or even impossible before the test is executed. In this seminar, the participant will learn how to use INI files to capture and compare expected results to design tests that are more flexible and easier to maintain.
AscentialTest Seminar 11: How to Parse Text from the Target Application
This webinar will demonstrate how to get text from a target application and parse it for test verification. Participants will learn how to:
capture text using low level commands and the system clipboard
use the Zee List class or organize captured text
use the Zee String class to parse text
