Security Challenges and Other Barriers in Using Generative AI for Testing

Security Challenges and Other Barriers in Using Generative AI for Testing

Generative AI (GenAI) is revolutionizing software testing by acting as a manual tester or an automation engineer. It interprets plain English instructions to autonomously generate test automation code. This capability democratizes testing, enabling those without programming skills to interact directly with testing frameworks. GenAI-driven virtual testers integrate seamlessly into Continuous Integration/Continuous Deployment (CI/CD) pipelines, autonomously detecting bugs and alerting teams about potential issues. These virtual testers support customizations in up to 50 different languages, showcasing their adaptability across various software environments.

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5 Modern Testing Techniques Delivering Value

In an insightful interview with Software Testing News, Angela Christian-Pye, Senior Quality Engineering Manager at Roq, discusses five modern testing techniques that are delivering significant value.

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BlinqIO, a groundbreaking company, introduced the pioneering concept of an AI Test Engineer, aiming to tackle the pressing shortage in test automation engineers. This innovative solution enables businesses to swiftly uphold quality standards across their digital platforms.

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