Yupp, you’ve guessed it, HTTP. HyperText Transfer Protocol (HTTP/HTTPS) is the go-to language for IoT devices, in that it’s the protocol used when devices talk to each other via the internet. I know what you are thinking: what about everything we’ve heard about security in the news? Surely there is nothing more important than security in IoT? Security was a close second for me when deciding the most important thing about testing, but here’s why HTTP pipped it to the finish line…
We operate in a continuous delivery world in which a seamless customer experience is paramount. Regardless of whether you’re a global Fortune 500 organization or a fast-growing startup, failing to deliver a digital experience that delights your users is a critical mistake you can’t afford to make.
Businesses want software that delights end users. Customer experience is the priority. But even as the requirement for ever better experiences grows, actually delivering on that requirement is getting harder.
There are two things you should know about the latest release of Eggplant AI, our intelligent test automation solution.
1: It will give you much greater insight into the quality of your releases.
2: It will make your testing process more focused and more efficient.
Quality assurance (QA) used to be a compliance activity. You were releasing a product and needed to test it and stamp it “approved.” QA was about testing that the code worked. You might manually test the code. You might have even tried some automation — coding a set of test scripts that would try to capture regressions or errors that you had eradicated in the past, but which somehow crept back in. All in all, you were reasonably satisfied that you achieved a level of test coverage that met your goals. Then, you put your code into production and crossed your fingers that nothing went wrong. And if it did, you tried to fix it as quickly as humanly possible.
It used to be that software testers could test their applications on just one platform, and only have to worry about testing that the code worked.
We recently co-hosted a webinar with Bloor Research about the Future of Testing, and in it, we conducted an informal poll about artificial intelligence (AI) and testing. When we asked what everyone thought the biggest advantage was to incorporating AI into a test automation strategy, attendees overwhelmingly selected team productivity and efficiency.
The focus on artificial intelligence (AI) in general, in technology, and particularly in testing, is prompting organizations worldwide to take it seriously. It’s hard to ignore AI’s potential benefits, including improved productivity and efficiency, fewer defects, a better UX, and happy customers. And with DevOps and continuous delivery here to stay, staying relevant depends on keeping pace, which is why test automation is so critical.
We recently commissioned a study of 750 development team leaders in the UK and the U.S. to gauge the extent of the pressure today’s organizations are experiencing with respect to app development. On the same day that we announced our App Gap research results—revealing that almost half of businesses feel the pressure to launch often untested apps—we hosted the first in our series of our Digital Automation Intelligence Roadshows.
You can find 28 million apps on Google Play and 22 million in Apple’s App Store. Yet, nearly one in four people who download an app use it only once. Apps are incredibly slow under certain circumstances, don’t work in key parts of the workflow, and have less-than-optimal usability. The app scrap heap is growing because many organizations are still testing to ensure code quality, not a superior user experience (UX).