There is an AI project, called Paperclip (with an ominous but obvious reference to the key theme of the best-selling book ...

Abstract: As deep learning technologies, particularly those driven by deep neural networks, revolutionize various industries, testing and verifying deep learning models remain challenging, especially ...

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 ...

How much have we covered so far, and how much more is pending? I would not be surprised to know that you keep hearing this question in your job as a software tester. When it comes to testing, everyone ...

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 ...

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

Testing AI systems is hard. Responses are non-deterministic, you need to validate tool usage, and semantic meaning matters more than exact text matching.