Formal methods represent a rigorous suite of mathematical techniques designed to specify, develop and verify system models with a high degree of reliability. In system modelling, these methods provide ...

Data centers are crucial for storing, processing, and distributing vast amounts of data in the modern era, as internet-based data-transfer services are essential in our daily work and personal lives.

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

AI software development trends 2026. AI agents become standard in Enterprise systems, natural language becomes default ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

SAN JOSE, Calif.--(BUSINESS WIRE)--Cadence (Nasdaq: CDNS) today announced it has entered into a definitive agreement to acquire the Design & Engineering (“D&E”) business of Hexagon AB, which includes ...

Who is the Master's in Software Engineering for? Drexel’s College of Computing & Informatics' Master of Science in Software Engineering (MSSE) is designed for students who hold a four-year bachelor's ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...