Devs don't trust AI in software testing

AI-based testing has the potential to help solve software quality issues, but it faces significant roadblocks on the way to widespread adoption. Automated testing uses software tools to automate the manual testing process. Testers can use traditional rules- or code-based scripts or AI -- which builds, initiates and runs testing models without human intervention. AI-powered tools such as Selenium IDE-compatible Katalon Studio, mabl and Functionize can free developers from mundane task repetition and monitor complex systems for vulnerabilities. However, a distrust of the inchoate technology hinders adoption rates, according to industry experts.