AI in Software Testing: Will a Bot Steal Your Spot?
Although artificial intelligence is nothing new, applying AI techniques to software testing only really started to become feasible in the past year. But it’s undeniable that it will soon become part of our day-to-day quality engineering process. Before we get caught up in the excitement of the technology, let’s take a step back and assess how AI can help us achieve our quality objectives. It’s been suggested that AI could be applied to actions such as prioritizing testing and test automation efforts, generating and optimizing test cases, enhancing UX testing, reducing tedious analysis tasks, and decreasing redundancies in test portfolios. However, should AI be applied in these cases? And where else could it assist?