Automating the testing of applications that run inside virtual environments like Citrix or VMWare is challenging, but it can be done. This means businesses have to take alternative approaches to automate testing in virtual applications.
Virtual desktops are commonly used by larger organizations where central infrastructure is needed to test applications in more than one location, or if you are dealing with sensitive data.
A physical retail store like H&M with multiple locations will have multiple computers on site. It’s in an organization such as this where software is crucial for operating the business. This is because the software is used to carry out important tasks like transaction handling and stock take.
If a process needs to be tested across several locations, it's more time-consuming and costly to test the software by visiting each location individually than it is to test them from a central place.
That’s where virtual machines and virtual desktops come in. They allow testers to connect to a remote desktop from a central location, and access the application for testing (albeit with limited access).
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Testers and developers are all too familiar with the challenges of automating an application via a virtual machine or desktop.
Instead of interacting with the application in full, the tester interacts with images. It isn’t possible to click on elements or grab text, so element locator strategies aren’t an option.
Writing code for image automation takes a lot of time. It requires the development of a script that can accurately identify images, while remaining stable. This creates additional maintenance work to make sure that the code is functioning as it should.
On a more granular level, differences in synchronization and loading times in images can cause a test to fail. For example, if your test was designed on a desktop with a high resolution, and run on a laptop with a lower resolution.
Businesses have to take alternative routes to automate in a virtual environment - image recognition.
Learn more: Best Practices for Image and Text Recognition
As with testing on a desktop, manually testing takes a lot of time. As a result, people can default by skipping testing altogether. The problem is, when you skip testing, expensive bugs can be missed, resulting in a development team's worst nightmare - system downtime.
Because of the resource intensiveness of testing, automating parts of the process can alleviate the workload. Instead of running the same manual checks every time you release new software, robots can perform the work for you, no matter the time of day.
As a result, it helps businesses to become more productive while lowering the risks associated with manually testing virtual applications.
Automating a virtual desktop environment doesn’t work in the same way as it would in a web application or desktop application installed on a local device. Instead, it requires image and text recognition to automate a process.
Image and text recognition makes it easier to monitor, test, and verify applications running on virtual clients such as Citrix, VNC, or VMWare.
Leapwork’s Automation Platform pairs powerful image recognition technology with a universal, visual language that makes it straightforward to automate any application in a virtual environment. For virtual desktop automation that is easy to build, maintain and scale.