Factors Leading To The Transforming of Mobile Test Automation Strategy
The
multitasking ability of a mobile phone especially in the fast evolving digital
landscape with an interface to advanced technologies has made it a convenient,
cost effective and yet powerful tool. Businesses releasing a plethora of mobile
apps aim at achieving commercial viability. To meet this objective, businesses
race with one another to develop and deploy apps those are quick to load, easy
to navigate, possess multiple features/functionalities, and most importantly, are
secure. In addition to these, businesses root for apps that can run flawlessly
across operating systems, devices and networks, besides providing a seamless
personal user experience.
To
ensure this, companies go for mobile
application testing covering the functional and non- functional aspects.
However, the presence of multiple operating systems, devices and networks puts
any mobile application testing strategy under stress. Hence, the challenges
before the testers are to increase the test coverage area and to bring about uniformity in the mobile application testing
strategy. And the best way to address these is by carrying out mobile test automation.
Mobile test automation, in addition to ensuring scalability and
accelerating the time to market, reduces redundancies/rework and significantly
improves the quality of an app. The QA testing process generates suitable
metrics upon which the strategy for mobile
application testing can be further improved. The success of mobile test automation depends on the
ability of the app to function seamlessly across platforms, operating systems,
devices, and networks. The QA strategy should aim at shortening the release
lifecycle of mobile apps as well as providing updates with Continuous Integration.
With
rapid technological advances and the release of numerous versions of operating
systems, the mobile app testing strategy should undergo a transformation as
well.
Below
listed are the key reasons that can influence the mobile test automation
strategy.
The proliferation of newer devices
Mobile
vendors are flooding the market with newer devices. These devices come with
different configurations, dimensions, and operating systems making the testing
process even more complex. Thus, the key challenges for testers would be to
choose the right framework and methodology to ensure the app’s seamless
functioning and security. Moreover, continuous testing is needed to detect
glitches and eliminate them in the early phases of the app’s life cycle.
Focus on security
The
exponential growth in the cyber security related incidents has necessitated the
mobile QA automation strategy to strengthen the end points or interfaces of the
apps. The strategy should aim at increasing the security and penetration
testing to check the vulnerabilities. The QA testing should ensure the
compliance of the app with security protocols.
Big data
Most
businesses use big data and analytics to draw actionable insights from the
patterns of changing customer behaviour or preferences. The use of big data is
needed to make crucial business decisions that can impact not only the company,
but also other stakeholders including the end customers. Thus, the success of
any enterprise mobile app (native or hybrid) would depend on its ability to
process big data. Any mobile app test
automation strategy should ensure that the app is able to process big
data, flawlessly and quickly.
Quicker release schedules
The
intense competition is leading to the release of numerous mobile applications
across the industry verticals. To add to that, there are several updates taking
place from time to time keeping the QA team on tenterhooks. Going forward, the
pressure of quick releases would be felt by the QA teams. In other words, there
would be less time to write robust test scripts let alone testing them
comprehensively. This would call for suitably transforming the mobile app test automation strategy to
ensure better test outcomes.
Better test coverage area
The
greater integration of mobile apps with technologies such as Cloud, AI (in the
form of chatbots,) big data, virtual reality and IoT has made the apps even
more complex. The challenge before the QA teams would be to cover the test area
with better frameworks and test automation platforms. The test should be able
to validate the app’s functionality and performance across the digital
ecosystem.
Conclusion
The
diversity of mobile applications has increased their complexity. Any QA test
automation strategy should take into account the technologies, platforms,
devices and networks to ensure better test outcomes.
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