Enterprise Application Testing with Cloud-Based Device Farms

In today’s world, customers interact with enterprises using mobile applications. Need to make a payment? Order food? Book a flight? There’s an app for that. Competition in the app store is fierce. Customers can switch to a competitor by simply removing one application and installing a new one

Enterprises improve user satisfaction, digital trust, and customer retention by making sure their applications are best in class. Their customers use various devices that run on different operating systems, so testing is vital for application performance

Using Cloud-Based Mobile Device Farms with Eggplant Test Automation Solution

Testing apps on a wide range of devices is challenging. The device mix changes frequently and maintaining a centralized test lab can be costly. Not only do you have to procure the devices, but you also need to manage remote access and user permissions, keep the devices cool and the batteries charged, and much more

Integrating Keysight’s Eggplant test automation solution with software-as-a-service (SaaS) mobile device farms eliminates these problems. Mobile device farms in the cloud host thousands of devices, allowing enterprises to test their apps on users’ actual devices. Using mobile device farms in the cloud, teams can focus on testing apps rather than managing various devices

By connecting Eggplant software with a mobile device farm, you can design and run mobile app tests on emulators, private devices, and public devices hosted in the cloud.  Instead of relying on bolt-ons, Eggplant software has native support for devices hosted in the cloud, so test automation engineers can design and run tests on these devices as if they were connected locally

Unlock the full potential of test automation

Integrating Eggplant software with your SaaS mobile devices unlocks the full potential of test automation to accelerate releases

Using Eggplant’s visual approach to testing, you can test critical human actions to ensure that any visual clues meant for end-user interactions are intuitive. By testing at the user interface layer, Eggplant can spot visual errors that cannot be identified in the code, such as blue text on a blue background or display issues associated with different screen sizes and orientations

Eggplant’s model-based approach lets you create a digital twin of your system, including mobile apps and other digital assets, such as websites. Your users are rarely predictable, so Eggplant can test every possible end-to-end user journey using artificial intelligence (AI) and machine learning (ML) algorithms. It even auto-generates test cases and prioritizes the areas of your app that need testing the most, so you don’t have to