AI and glass ceiling
Where does using AI to test fit in the glass ceiling?
Our "glass ceiling" here refers to the fact that automation rates are having a hard time increasing.
Meaning, if automation is the answer to getting testing done better and faster, than the more things that can be/are already automated the better.
If this is true, then we should see automation rates increasing everywhere yet we are not seeing this.
One of the reasons this "ceiling" effect is happening is because there are always more "things" coming in to challenge testing teams. More devices, more browsers, more application frameworks, SDKs, APIs, etc. The list goes on.
So without any "help" we believe testing teams will continue to be challenged.
We believe AI will shatter this ceiling so to speak. With AI, we will no longer be as dependent on the browser and mobile device specific requirements to automate. We no longer have to understand how iOS deals with objects and elements vs how Android does it (or Chrome, Firefox, IE, Windows, Edge, etc).
This makes testing more resilient to change, easier to manage, and much more simple to implement. With this, we absolutely believe AI is the game changer we need to make automation scale in the face of chaotic constant change.