QASource Blog

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?

Software quality assurance testing creates customers. Its value lies hidden within the smooth flow of your UI, the ease with which a problem turns into a solution and the reliability and security that customers come to take for granted. Software quality assurance is how you turn development innovation into customer experience execution.

The vastness of the internet rests on the myriad of individual web applications that make up its practically endless network. The ease of access a user experiences and expects belies the multipoint complexity of the underlying web server, application server and database. Pitching a new product into this balance between complexity and simplicity requires a profound commitment to software testing.