QASource's Top Manual Testing Posts

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?

The digital age has made software integration a crucial part of any business’s success. Companies that continue to invest in big data, cybersecurity, and cloud technology — among other digital solutions — grow over 50% faster than their competition. To retain your edge, you must build and constantly maintain your digital infrastructure.

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.

Evolution can be brutal. A piece of code you once considered an innovative breakthrough can put your entire application in danger once integrated within the original application code. That is why we call software development today’s Agile approach in software development a constant survival-of-the-fittest test.

There’s a world of difference between “good” and “good enough.”

Think of it in end-user terms—what sort of emotional response are you hoping for when your customers get their hands on your product for the first time? You want them to be impressed, at ease and to have the best experience possible.

You don’t launch a new product, or upgrade an existing one, with the intention of your customers eventually getting the hang of it after a few trial and error moments.

That’s the difference between “good” and “good enough,” and it’s what ultimately leads to success—or failure. Achieving that difference is what your QA process should be all about.

Quality is the true measure of product success. Poor user experience or application performance negates any advantages you achieve in delivery speed or production cost. Put simply, if it does not work, it is not worth producing.

It is, therefore, critical to our product success that we can accurately measure and track test results to ensure our testing is delivering against our business goals. Understanding software quality metrics, especially in automated testing, helps us identify what is working well and what needs improvement.