Mobile applications has filled us with convenience, speed, information, and problem solving. mobile application is a great example of a digital transformation experienced by the entire world, making it difficult for every one thousand to survive without smartphones. With a high dependence comes the responsibility to deliver high quality applications and dynamic requirements to be met quickly. Therefore all app-centric organization that focuses on technology solutions faster and qualitatively.
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constant efforts have been made to achieve the speed of application development @ quality as far as mobile phones are concerned, however, over time they have realized that automation and parallel testing did not lock and in fact, it is just a trap, the scale of the device will help. In this blog, we will see what automation @ scale and discuss strategies to achieve automation @ scale.
What auomation @ Lowest scale?
Increase testing speed is almost impossible to achieve with manual testing it to achieve automation of testing on multiple devices at the same time, laboratory physical device has a set of real mobile devices are formed and then as needed, the device is added to the test automation. This practice is known as scaling.
Strategies for achieving automation @ scale for mobile application testing
Using a cloud platform to manage devices and solve the fragmentation device
OEMs continue to launch new features and devices with the new OS version. When developing your application needs to ensure that the application works on all devices with a combination of devices trillion and variations such as versions of Os and Os, version version of Os and browser, browser and browser, a different screen size, screen aspect ratio, form factor, etc. So test application to meet all types and combinations of variations of the device, it takes time and effort. Therefore you need a laboratory device that can contain a large set of mobile device that can withstand all the devices and OS combinations available in the market. Building a physical lab is time-consuming and hence laboratory devices can prove a boon cloud that we can easily scale up or down as needed costs.
Managing laboratory centralized device that can be accessed from anywhere and anytime
Having a team of miles apart geographically quite common nowadays. Laboratory build physical devices require great effort and time and cost millions of dollars. Having a centralized laboratory devices that can be accessed from all parts of the world is the need of the hour. Having a common laboratory with all types of devices will facilitate a healthy collaboration. A laboratory cloud device less possessions for teams in different geographical locations. They can access it at any time as well as important documents such as test analysis report can be distributed at any time. It also provides the flexibility of working hours. At the time of urgent client meeting or even a team meeting can be held any time. The physical attributes of the mobile device can vary from one country to another, we can easily add these devices in a physical lab and access the cloud platform from any part of the world. It provides an easily scales from mobile devices to teams working in different locations in the world.
parallel testing
In parallel testing, we can test a single application on multiple devices. We are very aware of the dynamics of the mobile app industry where OEMs continue to launch devices and OS of various versions. To ensure an application that will work on all devices available on the market, we need to test it on multiple devices. Hence here, parallel testing increases the speed of testing by several folds to allow testing of applications on multiple mobile devices.
easy integration of automation framework on Cloud Platform
From the above examples we have seen how important the cloud platform for mobile devices across platforms scale testing. But when it comes to integrating the device with the cloud platform it's definitely not a cakewalk. Automation framework consists of several scenarios and integrate cloud platform requires a call to all APIs in order. It is not possible to make changes in a large number of scenarios in order to automation.
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