It is a common belief that testers should think like end-users by going beyond the defined requirements, seeing if the application under test addresses end-user expectations, and evaluating how it fares against competition. But with security testing, testers have to think not only like end-users, but also like hackers.

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.