This is a succinct look at the state of software testing and AI, finishing with a peek into the future of AI
Software testing is ever-evolving to keep up with the demand for quality products, and AI is only accelerating both software testing and demand. Taking stock of the current state of affairs is a good way to ensure that we don’t run in circles on the journey to progress. This is our analysis of the current state of software testing and AI and our predictions of the future of AI through a crystal ball.
In this whitepaper, get an exclusive look at:
Technology evolves pretty fast, and test automation right along with it. Frameworks were the industry standard for so long, and now with codeless test automation platforms coming into the market, it’s easy to lose track of how we got here and what we have. What’s more, with all of the software available, how do you know what makes a good test automation tool?
See anything you like there? We’ve got an excerpt for you to pique your interest, too:
“There was a time and a place for each type of testing software when technology like AI, ML, NLP, and RPA was not far advanced enough for codeless automation to even be possible. However, the need for quality at speed drives the development of codeless automation, as that need is one of the top objectives of QA teams. When new technologies and speed/scale requirements collide, that collision point creates codeless automation. Necessity breeds innovation.”