QASource Blog

Imagine walking to the ATM only to find out that you just got a staggering $924.8 million into your checking account. In May 1996, more than 800 customers of the First National Bank of Chicago suddenly became billionaires - they were rich beyond their wildest dreams.

No healthcare software platform is on its own island. All technology must work together and communicate with consistent clarity in the healthcare industry, no matter what company develops which product. And that technology must provide accurate results to all end-users in any kind of circumstance. That’s because the stakes are high for healthcare software. A failure in meeting strict patient data security and privacy requirements for HIPAA compliance can lead to expensive legal consequences for your company. Even worse, gaps in the software system can be vulnerable to security threats or transmitting insufficient data when patients need it most.

The high-stakes nature of online money movement keeps QA engineering teams on their toes at all times. Check out QASource’s latest infographic and get actionable tips on how to solve the common pain points of finance domain testing.

Thanks to artificial intelligence, impossible ideas of the past have become the reality of today. With AI, we have discovered more about the greatness of outer space as well as the micro-complexity of diseases and the possibilities for more value remain endless. In everyday life, we interact with AI when talking to our smartphones, shopping online and streaming our favorite TV shows and songs. So, it should be no surprise that software QA is quickly shifting towards integrating AI in QA testing. In fact, the AI industry is rapidly growing year after year and predicted to be one of the biggest software testing trends of this year.

Some of the new age protocols like GraphQL from Facebook and GRPC from Google are now widely getting popular among developers due to their flexibility and ease of use. New-age technology giants have already adopted GraphQL.

Time to market and superior quality are the two key factors you need to lead in the digital industry today. The most diligent development teams take many steps to shorten their product release cycle in order to improve productivity, reduce time-to-market, and drive workforce efficiency.

As headlined in The New York Times only a couple of weeks ago, the Iowa Caucus debacle was “a systemwide disaster…” and the “app used to tabulate votes may have been inadequately tested.” While additional facts are still coming out, the entire nation watched as there were major delays obtaining and reporting on the Iowa results. And then there was uncertainty as to whether or not they were accurate. While the intent of creating this app was supposed to be positive – to enable simpler more streamlined reporting, faster – we know that’s not at all what happened. And, that’s not exactly how you want your new mobile app rollout and brand to be remembered.

As your business grows, data storage becomes one of the biggest challenges that you will likely face at some point. Among the myriad of big data challenges, the most notable are shortage of server capacity, sharing issues, security and file backup.

QA test execution can only be as strong as the strategy you have in place. One of the best QA practices we’ve noticed across many software companies actually happens before any testing begins. By implementing a strong plan with thorough processes, every member on your QA team knows what to deliver, when to deliver it by and why it's important. But how do you know if your strategy is sound?