Test technologies take a leap forward about every 45 years. This evolution began with the vacuum tube, moved to transistors, and now is heading for software. Test engineering is evolving rapidly to ...
AI transforms vehicle engineering by automating complex integration tasks and enabling continuous software evolution ...
The problem with today's existing methodologies is that verification issubservient to design. This principle requires a shift in paradigm,especially in designing complex electronic systems. Why?
“Digital convergence” is creating demand for functionally complex ICs in six-nine month design cycles at mass-market costs. On the one hand, increased capital investments in the late 1990s have seen ...
Complexity of software-enabled assets has significant implications for the engineering lifecycle management. AI-enabled solutions can simplify this task. The increasing complexity of software-enabled ...
OntoSpace V2.0 software provides a comprehensive tool to manage and quantify complexity. The software now works with incomplete data sets that are often characteristic of field data. The software lets ...
As design complexity grows, so does the need for every piece in the design flow—hardware, software, IP, as well as the ecosystem — to be tied together more closely. At one level, design flow capacity ...
The cost for software development depends on a variety of different factors. Learn how to make the right choices for your business.