Top 6 Mobile App Testing Trends for 2020

The mobile app market is booming and is estimated to generate approx “USD 189 Billion by 2020” according to Statista Research. The number of mobile apps has hit new heights, with the number of users rising to 2 million for iOS-based and 2.1 million for android based mobile apps.

Hybrid monetization models, like in-app ads and in-app purchases, are rapidly gaining fame in the business world. Various studies revealed that in-app advertising is set to be a major driver of mobile growth over the coming years (as stated by IHS Markit’s, Statista’s, and Forbes’s reports).

What are the Top Mobile AppTesting Trends to Look Out for 2020?

1. Application of Artificial Intelligence and Machine Learning        

2. The popularity of Automated Voice (Voice-First App) Testing

3. High Demand for IoT Testing

4. The Trigger of Cloud-Based Mobile App Testing

5. The Growing Use of Open-Source Testing Tools

6. Prioritization to Performance Engineering

Let’s explore the list of top mobile application testing trends for 2020 in detail:

1.    Application of Artificial Intelligence and Machine Learning        

AI and machine learning in mobile app testing have already been the talk of the town in 2019. It is going to be used for test suite optimization to recognize exceptional and inessential tests. Machine learning would also be responsible to perform log analytics majorly to identify the test cases that need to be implemented automatically. Most importantly, AI is going to be used for identifying the threat of the mobile application to prioritize regression testing. It also allows generating reports on critical factors like leaks, crashes, slow response time, etc.

2.     The popularity of Automated Voice (Voice-First App) Testing

The AVT approach is primarily used as a speech detection engine to automate and control the device. Such an approach is both platform and device agnostic, as the automation of testing is done at voice level. Such automated tests can be executed on any type of voice-first application running on any device which derives a lot of importance for the end-users. 

3.    High Demand for IoT testing

Complementing the use of artificial intelligence and machine learning in mobile app testing, a top software testing company will also make use of IoT (internet of things) testing for mobile apps testing. Such growing demand and use of Internet-connected devices will prompt QA and software testers to utilize IoT testing methods for mobile apps to check the compatibility, performance, and usability of the IoT system and devices. In fact, Gartner projected that over 20 billion devices will be inter-connected things by 2020.

4.    The Trigger of Cloud-Based Mobile App Testing

Mobile cloud platforms allow software testers to assess the app’s performance, look and feel across manifold devices without buying any extra hardware or devices. Software testers can make great use of these cloud platforms to generate a customized test environment that aids to function with a good number of real-time devices linked to the network. Therefore, cloud testing is more in demand and investing in such mobile cloud platforms assists companies to save time and reduce their costs.

5.    The Growing Use of Open-Source Testing Tools

Software testers will be more inclined to use reasonable open-source mobile app test tools such as TestProject, Robotium, Appium, and Selendroid, etc. The main reason behind the anticipated trend is such tools are exceptionally versatile. TestProject is an end to end framework which is built on top of leading open-source tools (Appium and Selenium). They cover testing for the web apps and all mobile app types: hybrid, web, and native. Additionally, they can include code libraries for diverse programming languages and can be customized to meet pace with the changes in technology.

6.    Prioritization to Performance Engineering

Performance engineering guarantees the components of the network are functioning as proposed. It offers QA teams more data, flexibility, and better opportunities to automate the process. This approach focuses on the design and implementation of mobile applications and reduces the cost throughout the SDLC (Software Development Life Cycle) while meeting performance requirements.

Conclusion

To stay ahead of the game, one must be aware of the above-mentioned trends in Mobile App Testing Trends in 2020. These stated trends would help testers to acquire the right tools, techniques, and skills for investing the effort into the right focus area.