IC Teams Tend to Underestimate SOC Development Costs
by Numetrics | September 25, 2009 | In Best Practices, Productivity, Project Planning, Schedule Predictability | No Comments
Underestimating the complexity of an SOC semiconductor design project is a growing problem in our industry. In an era where SOC projects cost tens of millions of dollars to complete, a week of schedule slip means $1 million or more in lost revenue potential. That’s unacceptable.
That was my main point last week during a panel I participated on that was part of the EE Times SOC Virtual Conference.
Former EE Times EDA Editor Richard Goering, now blogging for Cadence, captured the panel well in a post this week (Are SoC Development Costs Significantly Underestimated?).
To justify the investment in an SoC, Collett said, the available revenue stream must be 10X the development costs. Thus, if an SoC has a $500 million market opportunity, development costs should not exceed $50 million. Today, however, development costs can easily reach $40 to $80 million. Collett noted that 60 percent of this cost is labor and that the major part of the overall development cost is verification.
Richard, with a great comparison, went on to write:
Anyone who has ever been involved in a home remodeling project knows how hard it is to get a reliable estimate up front of how long it will take and how much it will cost. Underestimating time and cost is commonplace. A large SoC design project is far more complex, with many more stakeholders. There is no simple answer to the question of how development costs can be accurately predicted. But there are some ideas about how to lower development costs.
Tensilica CTO Grant Martin weighed in from the IP perspective, Xilinx VP of Product Development Steve Douglass offered the FPGA perspective, and ASIC designer Sven Andersson from Realtime Embedded AB talked about the value of verified IP blocks. It was a great conversation, and you can hear it in archived form by registering for the event.
There’s some additional information about the panel (we tweeted some highlights during the panel) that have been cataloged under the hash tag #eetsoc.And we’ve published a helpful white paper on how to measure IC development productivity in our online library.
Time really is money in the semiconductor industry, and quantifying schedule risk is an excellent way to maximize your engineering investments.