Systems | Development | Analytics | API | Testing

Automation has been a linchpin for businesses for decades. Automation tools pave the way for greater efficiency, enhanced productivity, improved customer experience, and many other benefits. Yet, in some cases, businesses have only seen small gains from their automation efforts. When this happens, it could be because organizations were focused only on automation rather than the wider concept of hyperautomation.

Model-based test automation and record and playback — have you heard these buzz phrases before in the world of software testing? They’re two similar approaches to testing, yet they’re vastly different in their execution. But what exactly is the difference between these two techniques and why does it matter?

Visual regression testing is a type of regression testing to ensure that no changes to the program adversely affect the Graphical User Interface (GUI). It is also referred to as visual validation testing. Instead of focusing on the functionality of the software, it aims to validate the software’s aesthetic side. Visual regression testing verifies that all visual elements are displayed properly across all available browsers, devices, and platforms.

If you don't understand how an API works, you can't get the best out of it. That's one problem. The other is that they keep increasing in number, but the quality of the documentation for each of them doesn't. Lack of clear, quality documentation leads to more difficulty for developers, and with more difficulty comes less chance they integrate the API. Which could also be your API. That's where API exploration tools like SwaggerHub Explore come in handy to make this all way simpler.

Over the span of a couple of decades, product design has transformed massively. Yet, until lately, it was thought of as a physical and materialistic design, necessitating an experienced individual to work with conventional tools to make something substantial. That era, however, is light years away from how it has evolved in our present-day digital age.

When it comes to analytics capability that caters to diverse data needs across the entire business, Yellowfin provides specific advantages compared to Tableau in several areas. Tableau users may find the platform can be complex, or lacking, in areas such as dashboard design, data governance, or flexibility. Thankfully, many have found Yellowfin to be a great alternative, and even complementary solution, to their analytic needs.

Ready for your monthly debrief? We've got Appium 2.0 on virtual devices, error and crash reporting on real devices, and much more exciting news to share.

It’s been a decade since “connected” objects—commonly referred to as “the internet of things” (IoT)— reached broad audiences. Connected toothbrushes, sensors embedded in sneakers, and smart watches have started to change consumer behavior through a data-driven, gamified approach. Technology has rapidly evolved to handle large data volumes at high velocities and big data analytics. AI has become more democratized.