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5 Testing Trends for Mobile App Testing

As the global market for mobile apps continues to grow, so does the global market for mobile app testing services. Let’s take a look at five trends taking over in 2020 in the mobile app testing services sector.

Real Device Cloud

As new smartphones and software continue to emerge with different resolutions, screen sizes, etc. it’s almost impossible to test your app on every device available.
The solution and trend for this problem are to conduct mobile app testing by combining real devices with cloud technology. This will help locate performance defects and is highly efficient because it can target numerous possible issues.

Internet of Things (IoT)

As smartphones and devices become more complex, it raises issues with areas that need to be tested.
Devices are now linking to almost everything, headphones, home accessories, smartwatches, etc. Because of this complexity, mobile app testing should begin to involve not only mobile phones but also numerous other devices to ensure quality.

Agile and DevOps

With the integration of DevOps and Agile, quality, and speed jump to the forefront and can be tested to ensure the creation of better mobile apps. DevOps’s accomplishment on speed requirements is expected to rocket shortly, and Agile’s reputation has escalated in the market giving testing teams a significant advantage with the combining of these two.

Automation

Testing teams’ quality assurance is expected to be done via automation, providing less time and more efficiency in the testing process.

AI Testing

Similar to automation is the ability of Artificial Intelligence to jump into the testing process. Implementing AI testing algorithms can create better test cases, scripts, reports, and data for efficient outcomes. It can also highlight errors and loopholes useful for mobile app development.

All five of these testing methods are expected to rise as 2020 continues. These five methods should be examined and considered by mobile app testing companies to improve the testing process.

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