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3 Mobile Testing Trends that Make Up a Modern Approach to Mobile Testing

Mobile testing trend

It is estimated that in 2029, the mobile applications solutions market will be worth US$ 20.3 billion. Also, by 2027, worldwide mobile app revenue is expected to touch US$732.75 billion; these figures illustrate the growing popularity of mobile apps and the fact that more and more businesses will see mobile apps as a critical driver of revenue generation. Suppose your company is building or wants to build a mobile app and bite into this vast and growing revenue pie. In that case, it must ensure that this app meets all performance, usability, and functionality benchmarks and the expectations of its target users.

Apps suffer from a very high failure rate, and apart from the usual reasons of lack of demand and user engagement, we can point a figure to performance and functional issues as some of the other reasons why apps fail. No one likes a buggy app, and therefore, an extensive mobile app testing service is essential to building a successful app.

However, mobile testing presents challenges that are difficult to overcome. Device fragmentation, numerous screen resolutions, different device models, and massive user journeys are just some challenges that make mobile testing a long, drawn-out, and complex exercise.

But this is only if you leverage a traditional, time-consuming, error-prone, and expensive mobile testing service. Moving to a more modern and advanced approach to mobile testing can make testing more uncomplicated, effective, widen coverage, and productive. 

But what does this approach look like? Let us take a look at some of the mobile testing trends driving this approach and which are making the lives of testers, testing engineers, and all testing stakeholders a whole lot simpler and more outcomes-focused:

  1. Automation
    Leverage automation in mobile testing to build test scripts quickly across many scenarios to improve test coverage. With the ability to execute tests automatically, you can speed up the testing process and make it more accurate. Moreover, you can conduct a test for multiple devices parallelly, reducing the testing time. Also, automation makes test scripts reusable, meaning a test script built for functional testing can be imported and executed for performance testing. By integrating automation into your mobile testing services, you can move mobile testing to the early stages of the development cycle, allowing testers and developers to work in conjunction to get rid of bugs and test app feasibility in an agile environment. Automation also ensures key stakeholders, including testers, developers, and business users, can benefit from a collaborative testing effort to ensure that features, release cycles, and application functionality align with pre-determined objectives.
    Read the related article: Codeless Testing and Automation testing– Why is it important to be ready?
  2. Cloud-Based Device Farms
    A device farm is a hosting location for many devices your business wants to test for, but they come with infrastructure support and maintenance expenses. This is why you must move your mobile testing from a traditional device farm to a dedicated cloud-based device farm that offers numerous and diverse mobile devices and tablets for testing. What’s more, it is vital to choose a platform that allows you to test on multiple devices and operating systems simultaneously to accelerate the testing lifecycle. Also, choose a cloud-based platform that helps you conduct tests on many devices and deliver actionable insights based on critical metrics such as battery consumption, memory usage, CPO, etc.
  3. Artificial Intelligence
    Today, everyone is discussing AI and its impact across various industries. Testing is not immune to the power of AI, and with the market size for AI in testing estimated to touch US$ 1.63 billion by 2030, there is no prize for guessing that it is making a significant impact in mobile testing services. The job of AI in mobile testing is not just about simplifying and accelerating the testing process, but also about improving testing coverage.

    Every tester will recognize the difficulty of creating test scripts for every user flow on the mobile app. But AI integrated with a mobile test automation tool can do this job efficiently. It can traverse your mobile app, record the traversal, and help build and export test scripts based on the collected information. This simplifies the testing of visual user interfaces, which is a big challenge in mobile testing. AI helps identify specific flows in the app that a tester might have overlooked or did not know existed. They can leverage the report to visualize navigational flows users can take to build tests efficiently. Moreover, they also get clarity into the performance metrics, which, together with the user navigation flow information, helps improve test coverage.
    Read the related eBook: How Artificial Intelligence is Shaping the QA and Testing Space

    AI can also help testers save time spent modifying, refactoring, and maintaining scripts. Testing problems can occur when testers are unaware of the development team changing/updating/modifying a locator value of certain elements. In such cases, tests can fail, with the tester having to update all such values across test scripts. Here, AI can monitor and make changes to scripts as necessary without the tester having to make manual updates. The result is a marked reduction in test flakiness and brittleness.

A Modern Tool for a Modern Approach
Qyrus is an AI-enhanced, codeless, automation testing platform that facilitates test building, and execution, increased test coverage, reduced testing costs, and improved testing efficiency. It offers a range of features, including Rover, Healer, Mobile Recorder, Mobile Performance Profiling, Mobile Native Locators, and many more, to help optimize your mobile testing efforts and build a robust mobile app. With Qyrus, you not only embark on a modern testing approach but can transform your testing environment to ensure it can meet the mobile testing needs of the present and future.

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