As the COVID-19 pandemic shook the foundation of the global economy, organizations started preparing for the future in a completely new landscape. Many software companies started looking for QA solutions to achieve a higher level of efficiency and productivity while minimizing costs in the long term. This shift in thinking has made automation testing imperative for software companies. Check out the infographic below for advice from our QA team on selecting the right Automation testing tools.
Collaboration is all about connectivity. Your users want to connect instantly with peers, ideas and data so that business processes stay on track and the creative development of business strategy is seamless.
That’s why collaboration software products are a must-have for every company across all industries. And this instant connectivity wouldn’t be possible without the successful integration of APIs.
The stats don’t lie: mobile devices account for half of web page views around the world. This shouldn’t surprise us, since more than 75% of Americans own a smartphone with one in five American adults opting for a smartphone-only lifestyle.
That’s why product developers are adopting a mobile-first strategy. And since Android dominates the mobile OS market, it only makes sense for QA testers to become fluent in Google’s digital language.
These days people not only want, but need to do more with less. CEOs and Product Managers want to stay competitive by releasing new features while also keeping their resources lean. Is it even possible to reach these two goals without sacrificing product quality?
The answer is simple: test automation. Automated testing technology continues to advance year after year, and implementing the right test tool can boost the efficiency, effectiveness, accuracy and coverage of your software testing. Test automation can free your QA team from tedious manual testing procedures in order to concentrate on other critical areas of the project.
It’s standard practice for companies to monitor APIs during production to ensure that the live API endpoints are up, functioning quickly and returning expected information to the user. That way, testing teams know whenever something breaks down and can fix any issue before users notice any discrepancy.
But what if consumers find issues related to the API issue before you do? And what if the problem is more serious than slowness?
Nothing is more frustrating than funding a test automation project that results in endless time and resources to maintain , or worse, funding one that requires re-building after six months. Often a test automation strategy fails because the objectives were not identified early on or the scripting strategy excluded considerations for long-term maintenance.