So many apps depend on Bluetooth functionality these days so that mobile phones can interact with other devices and sensors. Think of apps connecting to your Bluetooth speakers, home automation devices, wearables and much more. From an app developer’s point of view, it can be a challenge to test such functionality. Imagine an army of testers manually pairing and unpairing devices over Bluetooth for each test. In this article, we share our insights on how you can automate Bluetooth testing. ...

This article arms you with foundational information and knowledge of tools to get you started with test-automation for your mobile apps. There are many resources and tools out there which can be overwhelming to some. We are here to break it down for you. Try it yourself. ...

Ever wondered how mobile apps with a large user base such as Facebook are developed and tested. Outlining Facebook’s continuous deployment process, we look at best practices and the benefits that shorter release cycles provide that can help your team improve their current workflow. A look under the hood shows how Facebook executed on their vision with careful planning and experimenting with new techniques to achieve such a fast pace of development. ...

One of the challenges faced by mobile developers is to combat OS and device fragmentation to make sure their app works across different devices used by their consumers. I delivered a talk recently at Android Summit to compare popular public device clouds - Google Firebase Test Lab, Amazon Device Farm and Microsoft App Center to demonstrate how easy it is to get started with cross-device cloud testing. Read on to learn more or just see the video from my talk ...

Pushkar and I were two recent PhDs with an idea for mobile game testing. We had an idea, but no customers, and no clue about the demand for such a service. Our first step in the discovery process was to share our thoughts, visions, and knowledge within the app testing space as a way to start becoming thought leaders in this growing marketplace. Along the way, we discovered three systemic issues that led to the creation of MoQuality as an enterprise mobile app testing provider. This article is the story of our early entrepreneurial journey ...

Exciting things are happening at MoQuality. Every day, more people are discovering the advantages of testing their applications on Barista. By automating the testing process, we are helping developers run more tests across more devices, identify and fix more errors, and save countless hours of their time.

So I thought this would be a good moment to look back at the first research prototype of Barista. Although we have come a long way and are still constantly working on new improvements to the platform, many of the foundational principles have remained the same: We wanted to build a tool that made testing applications simpler, faster, and more effective ...

Although mobile devices are constantly becoming faster and more efficient, battery drain is an issue that seems to continually plague app developers. The reason is simple: Users are attracted to dynamic apps that offer impressive visuals, extensive functionality, and that run fast. Unfortunately, many developers don’t know how to deliver this while also keeping their app from draining users’ batteries. And since battery life is the one resource that is shown on the screen constantly, using too much can ruin even the most useful apps. ...

Everyone wants a mobile app of some sort these days, and they want it for every major platform. That’s great news for developers who need the work, but mobile app development comes with plenty of complications you don’t get when developing software for Windows, Linux or MacOS.The most obvious problem is that the machine you do the actual development on is nothing like the device that must actually run the software! So how should you approach software testing in this tricky context? That’s a great question! However, the answer needs some explanation. ...

DeepMind was able to show that deep learning networks can be effectively used to train agents to play games. This is significant because the input their learner takes in is the game screen and a set of controls the agent can perform. In previous work in this area, researchers had to hand extract features which helped the AI agent learn the game. With deep learning that process is automated in the deep learning network. The network learns important features and learns policies that lead to a good score ...

A cat has nine lives, but your software doesn’t. I imagine Jenny will say something like this. Jenny started her career working as a support engineer. As a support engineer, she learned that software is not simply something that does its job but it makes their life better. ...