Staying ahead of the curve has become a constant challenge for app developers. With millions of apps vying for users’ attention, quality assurance has never been more critical. Enter the world of generative AI, a technological marvel that is revolutionizing mobile app testing. While AI’s role in testing is not new, the recent advancements in generative AI have ushered in a new era of testing efficiency and accuracy. One of the most notable aspects of this transformation is the improvement in reporting tools. In this article, we will delve into one way generative AI is reshaping mobile app testing by providing developers with more insightful and actionable reporting tools. This ultimately leads to better, more polished apps in our increasingly mobile-centric world.
While AI itself has made great strides recently, its application to other industries is already commonplace in both the consumer and business worlds. Notable companies such as Microsoft have integrated AI features in their Office 365 suite. Everyday users can now integrate results from Google’s generative AI, Bard, into their search queries. While relatively novel even in the short timeline of AI advancements, it is only logical that incorporating machine learning into mobile app testing would lead to more efficient overall processes.
AI in Mobile App Reporting Tools
One innovative application of generative AI is as an integration in the reporting tools used for mobile app testing. Before the addition of AI, the Sofy testing platform integrated previously disparate reporting tools in a dashboard format. The tools previously used took hours to collate and understand results from and were completely unconnected. By adding AI in the form of a Chatbot, Sofy further streamlined the reporting process. With Co-Pilot testers can receive answers to questions ranging from granular to test-specific text queries. Because these answers are instant, accurate, and tailored to each tester, efficiency is promoted by cutting down on hours previously spent finding and understanding test results.
Natural language questions can span a range of topics, for example:
- Why did my last test fail?
- Summarize my last test run
- Which devices are failing the most?
- What is security testing?
AI in Reporting Tools: A Natural Fit
AI integrations into the mobile app testing industry clearly promote efficiency with the ability to further streamline reporting processes, provide instant and accurate test feedback, AI-driven innovations are proving to be necessary tools in the pursuit of app excellence. Embracing this transformative technology promises a future where mobile applications are not only more reliable but also more innovative and engaging.
If you’d like to learn more about how AI can improve your mobile app testing experience download our free guide.
