Usage of mobile applications has extensively increased over the last few years and the scope for expanding this field has no limit. Though most of the software companies are inclined towards mobile apps development, but releasing stable apps in terms of time and money has always been a greatest challenge for them.
It often happens that many organizations overlook small glitches, malfunctions and crashes to keep up with the increasing competition in the market. To overcome these drawbacks mobile application testing is of much importance.
Need for mobile application testing:
Traditionally the apps developed for a particular mobile OS was not compatible with other OS, so the efforts of mobile apps development have to be repeated for each of the device or operating system. Some of the companies spend lots of money for mobile apps testing projects.
This is because of the sensitivity of data, which is the crucial part of success for any mobile application. To test mobile apps effectively and consistently across popular mobile platforms, like Apple, Android etc. Enterprise developers typically go through three rounds of testing to perform surplus amount of testing that ensures better quality for the mobile applications.
This process generally involves a considerable amount of time and money.
Solution for cross-functional mobile application testing:
Developing applications have become cross-functional now-a-day, from desktop to web, from web to mobile, from Android to iOS and so on. Whatever the platform is, the main challenge is to include all the mobile platforms under one single framework. A common data model is the answer to all questions for a common solution to cross-platform mobile application testing.
Common data model for mobile application testing:
Just like the difference of looks between different mobile devices, the objects within the mobile applications that run on different platforms vary from each other. For example, the lists of results (from where the users can select their desired one) displayed by Android devices is completely different from that of iOS.
Also, the properties for Android list are completely different from those of iOS. The challenge lies in writing a single script for two different platforms while testing Android, iOS or any other mobile applications.
This is where common data model comes in use. For the example provided above, common data elements of applications, like button, can be implemented differently between iOS and Android platform from a technical viewpoint, but the functional perspective of each object will remain identical.
This allows both the list of results in iOS and Android platform to turn into a single test object called ‘MobiList’, which can be utilized irrespective of the platform. The common data model can handle technical interaction with specific device OS ‘under the hood’, which provides a uniform and streamlined automated testing experience for all.
Effect of platform differences on mobile testing:
From the end user perspective, an application might act in similar way across multiple platforms. But for development and testing, even a small difference can pose a big challenge. It is better to use a tool for testing, which leverages common data model for mapping equivalent UI elements from different mobile platforms.
This approach is helpful for the testers in writing iOS application specific script, and then running the same script again for testing Android specific application with no change in the script or object.
Reusability of code, easy deployment and reduced cost for it are some of the major benefits of using cross-platform network for mobile applications, also proper testing should be performed to ensure total success of the process. Transforming a platform specific object into another platform is not any magic technology. A common data model can help preventing re-work on testing, aiding in more efficient cross-platform mobile application testing.
To reduce effort, time and cost, cross-platform mobile apps development has earned much popularity, which brings the necessity of a single framework to incorporate cross-platform mobile apps testing.