Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to ...

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 ...

The overwhelming majority of MBSE transitions that I have observed fail not because the organizations pick the "wrong" tools ...

Karthik Ramamurthy explores how AI-driven automation is transforming quality engineering, improving software reliability, risk assessment, and release confidence across complex digital platforms.

AI engineering builds on established software engineering principles, but it also introduces a host of new challenges.