September 17th, 2014 by inflectra
Rapise has several methods for learning the objects within the application under test. While still easy to learn, this method does not automatically develop a runnable test that will deliver any meaningful results. Herein we will discuss the learning methodology and provide a flow to follow, however we will not have a runnable test in the end as no input or click-stream data will be captured.
As with most things in life, none of the learning methods are all inclusive. An actual test will, most likely, be made up of various methodologies to meet the specification of the test case. We are presenting this as a learning case which is one of the building blocks of developing a robust and reusable automation test case.
In Rapise, there are several technologies which allow you to learn different types of objects. These technologies are both customizable and replaceable through the use of JavaScript to create new libraries. Objects can be learned with Active accessibility, DOM, XPath, etc… when initiating the process of learning objects Rapise will make an attempt at selecting the best fitting learn method for the application under test.
To learn through selection, follow these steps…
This is how you learn objects without defining actions directly through recording. This test, as it sits, is not useful as it does nothing. There are no actions defined for the objects learned. In another blog entry we will discuss what you can do with these objects through drag and drop as well as through light JavaScript.
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