Mobile applications have transformed the way businesses reach to the customer. Moreover, there are different platforms such as iOS and Android for app deployment. It is important to perform mobile application testing to verify an app’s optimal functionality, performance, security, and consistency across different devices and platforms.

Mobile application testing phase is useful to test for various conditions starting from — the successful download of an app on a device, execution of app on a device, impact of low signal strength or battery power on app functionality, and acceptance of app’s updates by users. Test the app on different platforms, operating systems, and devices to ensure smooth functioning and reduce the cost of fixing errors if found later.
There are several types of testing techniques with entry and exit criteria’s respectively:

  • Pre-alpha Testing
  • Alpha Testing
  • Beta Testing
  • Release Candidate
  • Release

Alpha Testing performed by the tester at the internal level of organization:

  • It involves black box testing and white box testing techniques.
  • This type of testing needs a testing environment – Simulators provide the environment similar to real devices.
  • This stage may require long execution cycle.
  • App tested for quality before moving to beta testing.
  • Critical issues or fixes gets resolved immediately by the developer at this level.
  • As reliability and security testing are not performed in-depth. Cloud services are useful to reduce costs in the overall testing phase.

As simulator lacks the characteristics of real devices, an alternative solution is cloud testing, it provides the advantage of device matrix to test the app. Select right device matrix based on – OS version, manufacturer, screen size, CPU, and input method.

Beta Testing performed when the software is stable and ready for release. It has subtypes based on the desired outcome from testing – Traditional beta testing, public beta testing, technical beta testing(in-house testing), focused beta testing, post release beta testing.

We perform focused beta testing for gathering feedback on specific features of the product. We work with early-stage start-ups; focused beta testing is suitable for these clients to test the product with limited users. We also develop products for tier-1 companies and perform technical beta testing to gather feedback from the employees of the organization.

Release Candidate (RC) — updated with changes in software after feedback gathered in beta testing. RC put out to the public; released with bug fixes and to check for the app’s performance.

Release / MVP (Minimum Viable Product) — Everything works, and the app is ready for public launch. At this stage, we release the app in market through the Google Play store for Android apps and Apple’s app store for iOS apps. Post release beta testing involves gathering data for improvement and future release of the product.

There are Non-functional testing methods which also have a significant impact on the performance of app in real-life digital environment and app’s compatibility with various devices and platforms:

  • Selection of device for testing
    Testing is better performed if the tester has an idea about the target audience digital environment. It is easier to test on devices or environment based on usage pattern or preferences of target groups. If an app does not have a target audience, then select the devices which are most widely used.
  • Test for challenging network condition
    It is important to test the app with low connectivity or low internet speeds. If the app does not perform in challenging network conditions, it is likely that the user will blame the app and not the network affecting app’s reputation.
  • Load performance
    To test the app under load/stress, perform an automated testing, to ensure that the app can handle the load you had imagined. If it fails to handle then you can fix it well in advance.
  • Battery testing and restricted permissions
    Test the app keeping in mind the mobile users’ concern about battery usage and data security. While testing the app, check that the app uses only the permission
  • required for functioning and not anything more. Apart from this, an app must perform its operations with optimal use of battery power.

    We prefer to use automated testing to ensure good app performance. Automated testing for mobile apps has advantages such as speed, cost reduction, repeatability, and reusability.

    At Deep Learning LLC we ensure to perform rigorous mobile app testing with different testing types and automation tools to provide robust, consistent and future upgrade compatible mobile app to our clients.