In the last few years, mobile applications have influenced our lives in so many ways. People have been dependent on the mobile apps completely, right from the daily commute, shopping to ordering food etc. According to Statista, there will be a growth of 258 billion in mobile app downloads by 2022. Moreover, the number of smart phone users worldwide is expected to grow by 2.5 billion in 2019.
There have been constant changes in mobile app development which have certainly reshaped the app testing methodologies. The emanation of Agile and DevOps methods and changes in the software testing approaches has helped the testers in catching up with the new technology. We at pCloudy have found out some tactics that would help revolutionize the future of mobile apps and make them halt for a longer time in the market.
#1 Merger of Agile and DevOps
Not a very new concept but has certainly contributed with a great ability to reduce the time gap between development and operations. Agile is a great demonstration of the combination of small functions to collaborate and provide quick and continuous delivery. Quality Software development introduces early entry of testing and automation in the process. With a shift to quality engineering, the roles of developers and testers need to be merged to ensure an agile and cohesive approach to testing.
#2 Switching from Performance Testing to Performance Engineering
It’s just not a switch of terms but a switch in the standardization of approach. For any app to be exceptional, it has to have remarkable user experience as a key differentiator. In order to achieve that, the shift from performance testing to system performance engineering (SPE) is a must. This scheme emphasizes the complete architecture, design, and implementation on mobile applications. It also reduces the cost of development by quickly catching up with the performance requirements, ultimately affecting the ROI positively.
#3 API and Mobile App Test Automation
In these times, there is a single app available for everything. So, with a wide range of device platforms accessible, most of the software can be run on a single application.
As such, mobile app testing is a more complex task than ever before. When it comes to market competitiveness and cost-effectiveness, the best go-to option is opting for mobile app testing automation. Automation testing allows testers to focus on the issues that require manual attention and human interaction.
Other than investing in test automation, modern-day DevOps should also patch up with microservices based build. This approach emphasizes on testing small and focused functions to develop a complete application which further gives complete flexibility to make changes in the specific areas of the app rather than the whole structure.
#4 Adoption of open-source tools
Open source tools are highly versatile, customizable and extremely adaptable to changes within the technological environment. Most of them offer code libraries for programming languages. It is often opted by most of the organizations for successful execution of test management and automation, Agile Devops and Defects Management. Since there’s a great involvement of support communities, open source tools should be trusted and adopted more than before.
#5 Adaptation to IOT
In order to be competitive and to be in the game, IOT has become a mandate in this era. According to the Gartner report, over 20 Billion devices will be connected things by 2020. Although IOT is a great opportunity of expansion upon the possibilities of technologies, at the same time it does not come threat-free. So, the role of the Quality Assurance team is more refined to perform the best static and dynamic testing of IOT devices. Defining the right testing tools can be quite challenging when it comes to testing functionality, reliability and security of the IOT devices. Test-as-a-user approach along with integration testing would be a really helpful tactic in this case.
#6 Automated test runs with AI
Treatment of a failed test can be quite a time consuming, leaving the team with a meager time to innovate. Machine learning would be a healthy option to overcome this dilemma. A machine can go through millions of server logs by most likely pointing out what seems different, in a fraction of seconds. This task would certainly be underperformed if this case is handled by a human. Machine learning could be leveraged not only for the code coverage but also the test coverage. It would help the developer check and understand the exact number of tests to be run to verify the change.
#7 Cloud-based testing
Although cloud based testing tools have already been tried and tested, they will continue to be the strength of the Mobile App Testing game. Testers and Developers are going to be dependent for quite a good time on the cloud-based testing tools for quicker and better outcomes even in the coming years.
To stay ahead in the game of 2019, the QA team ought to accept the changes mentioned above and go hand in hand with the dynamic fluctuations in the new introductions. Demand of new and more cutting edge mobile devices would demand an equal software testing acumen along with the ability to deal with the challenges of cost-efficiency and effectiveness. Adopting the above changes would be a win-win situation for the QA team altogether.