It’s a safe bet that testing jobs won't be taken over by machines anytime soon. However, those of us in the test industry would be wise to heed cross-industry applications of analytics and machine learning and begin staking out the proper role of the machine in our testing domain. What could AI mean for testing?

In the world of continuous integration and continuous delivery, the importance of ensuring good performance has increased immensely. While functional and unit testing are relatively easier to integrate into these processes, performance engineering has typically raised more challenges. Here's how you can mitigate them.

Because automation, AI, and agile have changed how we test software, the thought is that testers need to understand a certain amount of coding so that they can make themselves more well-rounded and better able to adapt within a software project. But there are other things testers can focus on before learning to code.