Although Artificial Intelligence (AI) is nothing new, applying AI techniques to software testing started to become feasible just this past year. Undeniably, AI will soon become part of our day-to-day quality engineering process. Before we get caught up in the exuberance 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 automation, generating and optimizing test cases, enhancing UI testing, reducing tedious analysis tasks, and helping to determine pass/fail outcomes for complex and subjective tests. However, should AI be applied in these cases? And where else could it assist?
Join Tricentis founder and CPO Wolfgang Platz to get his insights on where AI can deliver the greatest impact to software testing. We’ll cover:
- How to determine if AI can enhance a task or process
- What software testing processes and tasks are the top candidates for AI
- How AI will impact software testing in the next 2 years