Enterprise Application Testing with Cloud-Based Device Farms

Jonathon Wright

Keysight Technologies

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

Improve user satisfaction, digital trust, and customer retention by ensuring that your applications are best in class. Customers use various devices that run on different operating systems, so testing is vital for application performance. However, testing apps on a wide range of devices is challenging. The device mix changes frequently and maintaining a centralised 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.

Combining artificial intelligence (AI) driven automated testing and cloud-based mobile device farms delivers endless testing possibilities.  Connecting with a mobile device farm enables you to design and run mobile app tests on emulators, private devices, and public devices hosted in the cloud as if they were connected locally. So you can focus on testing apps rather than managing various devices.

In this session we will cover how Keysight 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 AI and machine learning (ML) algorithms. It even auto-generates test cases and prioritises the areas of your app that need testing the most, so you don’t have to.

 

Key Takeaways:

  1. Learn how to create a digital twin of your system
  2. Discover the process of testing user journeys using AI
  3. Explore how to make your mobile apps best in class

About Me!

Jonathon specialises in emerging technologies, innovation, and automation, and has more than 25 years of international commercial experience within global organisations. Jonathon is Chief Technology Evangelist and heads up Solution Engineering (R&D) for Eggplant a Keysight Technologies company. In his role he combines his extensive practical experience and leadership with insights into real-world adoption of Cognitive Engineering (Enterprise A.I. and AIOps). He is a member of Harvard Business Council, A.I. Alliance for the European Commission, chair of the review committee for the ISO-IEC 29119 part 8 “Model-Based Testing” and part 11 for the “Testing of A.I. based systems” for the British Computer Society (BCS SIGiST).


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