In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

Model-based testing (MBT), whereby a model of the system under test is analyzed to generate high-coverage test cases, has been used to test protocol implementations. A key barrier to the use of MBT is ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

When using LLMs, advanced technologies such as social robots, virtual reality, and mixed reality are used to present LLM-based virtual patients. Combining these technologies with various supplementary ...

San Francisco-based AI-native video infrastructure company VideoDB has acquired Devzery, a Chennai-based software testing startup focused on AI-powered regression testing workflows, for an undisclosed ...

Google is expanding access to incrementality testing, rolling out major updates designed to help advertisers of all sizes measure the true, causal impact of their ads – what’s driving results and what ...

Soil testing is the simple secret that keeps gardens blooming and lawns looking lush. To know the soil is to know the life it nourishes. That is where home-based soil testing kits can help. They are ...

Objective: The aim of this study is to identify the challenges and barriers clinical nurses face in disseminating evidence, examine their perspectives on the use of existing LLMs to support evidence ...

Dempsey, C., and Hugues, J., 2025: A Model-Based Approach for Software Acquisition. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...