Businesses are starting to use generative AI more and more as a result of the fast development of AI. Automating software testing is only one example of how generative AI is improving efficiency and reducing costs. Here I'll go over several ways generative AI may speed up the software development process and automate software testing.
The excitement (and drama) around AI continues to escalate. Why? Because the stakes are high. The race for competitive advantage by applying AI to new use cases is on! The launch of generative AI last year added fuel to the fire, and for good reason. Whereas the existing portfolio of AI tools had targeted the more technically minded like data scientists and engineers, new tools like ChatGPT handed the keys to the kingdom to anyone who could type a question.
In iOS, geofencing is a location-based feature that enables us to define geographical boundaries and trigger actions, or alerts, when a device enters or exits those boundaries. This feature has become vital to all kinds of apps, enabling them to deliver personal, timely and contextual experiences.
In regulated industries, compliance, consistency, and safety are paramount. Structure and predictability are the hallmarks of a regulated test strategy. As a result, software testing is often limited to step-by-step, scripted procedures. Yet, unscripted exploratory testing is emerging as a modern best practice, even in highly regulated domains. At first glance, exploratory testing may appear to be at odds with the rules of a regulated industry.
