How To Leverage AI As Part of Your Mobile Testing Efforts

The mobile application development has rapidly grown in recent years. The practices like Mobile DevOps and CI/CD set up the infrastructure to speed up app development. However, mobile app testing doesn’t evolve much to keep up with the speed of app development. It’s true that there are multiple automated testing tools out there that allow us to keep up with the pace of development, but we need something more to do all the things without any scripts and with minimum cost. This is where Artificial Intelligence and Machine learning (AI/ML) comes into the picture. In this post, we will explore how we can use AI/ML tools in our mobile application development workflow. 

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Next Generation of Mobile DevOps: Bitbar Launches AI Testbot to Its Mobile Device Testing Cloud

Development teams are being pushed to ship higher-quality software at a faster pace and simultaneously there is constant pressure from demanding and finicky end users and from fierce competition. The arrival of tools offering AI capabilities will deliver a sweet relief.

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AI and Machine Learning in Mobile App Testing

Getting great apps to the market as early as possible is the key to business success. But the fact is that there are so many things needed to be done by mobile developers in this process. Bitbar Cloud is an all-in-one mobile DevOps platform that aims at easing the daily work of all mobile app developers with unique flavors in DevOps tools and services. And we want to make building and testing applications easier.

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