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.
2017 was another exciting year for Bitbar. We introduced powerful new features and teamed up with new partners to strengthen our mobile DevOps platform. ‘Speed’ is the single word to be used to wrap up the achievements for the year. We want to take this opportunity to have an annual review.
We are excited to announce that Bitbar Testing Cloud, the most scalable mobile app testing solution, is now available on Amazon Web Service (AWS) Marketplace. The simplified, automated and accelerated purchasing process for Bitbar Testing on AWS Marketplace enables faster time-to-value services for mobile Dev & Test teams to automate mobile tests at scale and accelerate the delivery of high-quality mobile apps to end users.
Bitbar Testing provides a highly scalable device farm and testing infrastructure for agile mobile app testing to speed up the quality assurance of business-critical applications. With the support of all open source technologies, Bitbar Testing streamlines mobile DevOps processes and accelerates app delivery by reducing mobile test cycle. Our service is trusted and adopted by Global 2000 companies for CI/CD pipeline setup, maximal device coverage and device lab management.
Thank you all for attending our latest webinar – Exercising and Scaling Up Mobile DevOps in the Enterprise. Mobile DevOps is getting more attentions than ever before – Lots of enterprises have adopted or at least have been looking for the solutions to introduce DevOps process for the mobile team.
Espresso has been one of the most used test automation frameworks for Android app testing. We’ve provided support for it with all our solutions years ago and it’s time to look at how things have evolved and what’s new with Android Espresso testing. You can quickly get started with Android Espresso using Bitbar Public Cloud.
Video recording for mobile app testing is a neat feature that provides video as an output from the remote test sessions. When you start a test run on any number of devices and something goes wrong with any of those device runs, it’s a great feature to check what actually happened on that run – by looking at the video.
The Mobile DevOps practices and Continuous Integration/Delivery together enable Agile development. Basically all these together are fully complementary. As we’ve been discussing Mobile DevOps is a methodology and a set of (good) practices where Continuous Integration/Delivery is more like an implementation of that. And for mobile app testing it has a lot of great things to offer.
The most important things in mobile app testing are the efficient use of test automation (using real devices), the right test automation frameworks, and efficient bug catching/handling and notifying developers about those. When it comes to parallelism and concurrent, simultaneous test runs on real devices, that’s what test automation together with CI/CD system is all about.
As you may know, Appium 1.5.x is a complete rewrite of Appium from the scratch. It is a technical re-architecture that keeps the code organized at best and makes it easier for new contributors to improve the framework. To all Appium lovers, we have made it executable on all of Testdroid solutions and you can now select either Appium version 1.4 or 1.5 to drive the Server-Side Execution for your mobile app testing.