Formal methods constitute a suite of mathematically based techniques that are employed to specify, develop, and verify software systems with a high degree of rigour. These techniques aim to transform ...

Formal methods encompass mathematically rigorous techniques for the specification, development and verification of safety‐critical railway systems. In the context of modern railway transport, these ...

A laptop computer runs desktop configuration software at the 60th Communications Squadron computer warehouse at Travis Air Force Base, California, Sept. 11, 2020. (U.S. Air Force photo by Heide Couch) ...

The EDA industry has a message for researchers in formal methods: There’s a right way and a wrong way, and if you don’t pick the right method, formal can be hard to crack. Pranav Ashar, CTO of Real ...

Add Yahoo as a preferred source to see more of our stories on Google. Darren Cofer, a senior fellow at Collins Aerospace, demonstrates a cybersecurity tool developed as part of DARPA's High-Assurance ...

Carlos Rivero, associate professor in the Department of Computer Science, received $212,983 from the National Science Foundation for his project titled "Collaborative Research: FMitF: Track III: A ...

Safety and reliability have moved to the top of the list of critical criteria in software development. There are many ways to achieve improved safety and reliability, and one of the best is to employ ...

As autonomous systems, connected devices, and AI technologies continue to come online, engineering teams are finding it more difficult to rely on traditional development methods. As the sophistication ...

A technical paper titled “A New Security Threat in MCUs – SoC-wide timing side channels and how to find them” was published by researchers at University of Kaiserslautern-Landau and Stanford ...

Automotive software has a vital role in the future of driving. Credit: via Shutterstock. Software is at the heart of modern mobility. From advanced driver-assistance systems (ADAS) to electric vehicle ...

After years of watching smart teams mistake sampling for safety, I no longer ask how many AI tests we ran, only which failures we have made impossible by design.