Performance testing of software and applications is standard practice. These tests pinpoint how the apps run on different systems under different circumstances. Naturally, all application developers want their products to meet user expectations and receive traction in the highly competitive app market.
Performance testing helps app developers eliminate bugs and ensure high-quality user experiences, but the measures are costly. A recent report stated that IT teams are spending almost 40% of their entire budgets on testing.
What is Automated Mobile App Testing, and where is it applicable?
Unlike traditional testing measures, which are time-consuming, taxing, and highly expensive, automated mobile app testing measures are much faster, easier, and, more importantly, constantly improving. Automated testing can be used to assess native, web, and hybrid apps for various repetitive tasks like -
● Acceptance tests
● Regression tests
● Integration testing
● API testing
● GUI testing
● Unit testing
These automated testing processes are applicable to functional/non-functional tests. For instance, these tests can now be customized to be device-specific. Hence, developers get a clear idea of whether their app will work on specific target devices and consumers. They reveal details like -
● Can the app withstand battery or storage fluctuations on the users’ devices?
● Can it automatically update itself whenever newer patches are launched?
● Can the app interact with the device’s backend infrastructure?
● Does the app run as intended on all browsers, devices, and operating systems?
● Is the app easily downloadable on all target devices?
Developers are also using tools like react automation testing to figure out new ways to target the native SDKs of iOS and Android using as little code as possible. Since more code increases the risks of bugs, low-code development is extremely advantageous.
Adding AI tools to the mix
The latest automation mobile app testing measures use AI power to gain deeper insights about bugs and coding issues and how they impact users. Developers simply need to choose which apps they want to test and on which devices and operating systems. They can create different test scenarios to replicate real-world conditions, run the tests, and gain AI-powered insights.
Why and how these tests benefit app developers
Automated app testing recreates actual customer conditions. So, developers get to focus on user experiences. Additionally, they get to leverage AI-powered insights and suggestions to proactively identify and eliminate bugs that might negatively impact user experiences. Recently, a company reported 90% reductions in app production issues and 60% faster in-app download times after switching to automated app testing processes.
Automation testing isn’t yet an ‘across the board’ solution. Developers will still have manual testing responsibilities. But, automated tests give different and unique insights at much faster rates making them extremely important for the next generation of app developers.