I agree with you 100%. As Adnan says in the original article, UVM and constrained random break down at the full-chip level. At that point, the recommended automation is via TrekSoC and its self-verifying C test cases. This is truly automation in the right direction.
Hmmm. I am not sure it is just about automation. Constrained random adds automation, but at the SoC level it may be inappropriate automation and thus it too can start to add to the problem. Automation only helps if it drives you in the right direction.
Many of the lessons in "The Mythical Man-Month" apply to verification teams as well as coding teams. Projects that simply throw more bodies at the problem rather than taking advantage of new technology such as TrekSoC may indeed run into the issues outlined in the classic book. The best solution is increased automation to make the existing team more effective even on larger and more complex chips rather than growing the team in an unbounded fashion.
Tom Anderson, Breker Verification Systems
Remember when software development went thru a similar phase change? The book "The Mythical Man Month" seemed to clearly define the issues. Maybe we need a new "Surgical Team" approach to verification along similar lines. Anyone have a good team structure that can help in the verification space?
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.