Keeping your skill set current has always mattered, but the pace of change right now is on another level. Artificial intelligence has gone from something most people were curious about to something ...

Background: Automated speech and language analysis (ASLA) is gaining momentum as a noninvasive, affordable, and scalable approach for the early detection of Alzheimer disease (AD). Nevertheless, the ...

On this week’s pod, I went in-depth on my on-course ball testing with Daniel Bladen of Callaway Golf. I learned a lot, shared a lot, and somehow walked away with more questions than I had going in.

AI agents hold great promise. They can rapidly explore flows, generate test ideas and produce evidence. Unfortunately, speed is not the same as trust. But when an AI agent claims that all tests have ...

Abstract: Unit testing is an essential but resource-intensive step in software development, ensuring individual code units function correctly. This paper introduces AgoneTest, an automated evaluation ...

ServiceNow implementations evolve through frequent configuration changes, scoped application releases, and scheduled platform upgrades. These changes elevate regression risk across mission-critical ...

Abstract: This paper represents the integration of TensorFlow and Selenium to develop an AI-enabled automated testing platform for electronic and electrical systems. It uses secondary data from ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Developing an LLM testing strategy is challenging because the model’s inputs are open-ended and responses are non-deterministic. AI agents couple language models with the ability to take ...

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