AI for automation testing is still in its infancy, and it’s important to keep that in mind when deciding whether or not you’re going to use it to test out your newest software or tech product.

Track key indicators such as reduced test maintenance time, improved resilience to UI changes and increased participation in test creation by non-technical staff. NLP's Impact On Testing Roles And ...

Adopting codeless automation can bridge the gap between engineering and non-engineering teams, allowing more stakeholders to be involved in the testing process. “Quality is everyone’s ...

DevOps and true “shift left” testing environments demand structure and flexibility throughout operations that can only be achieved through standardization and automation. Elevating testing ...

Generative artificial intelligence software testing startup BlinqIO Inc. said today it has closed on a $5 million round of funding to get around a shortage of human test programmers.. Today’s ...