Virtual prototyping boosts model-driven Design for Six Sigma methodology: Part 3 of 3 - Design example: Electronic throttle control
By Darrell Teegarden, Mentor Graphics Corporation
Automotive DesignLine (04/24/08, 03:44:00 PM EDT)
Part 1 of this 3-part series described how a model-driven development process and virtual prototyping tools help address the challenges of implementing a DFSS methodology in a complex automotive electronics development process.
Part 2 details how a model-driven development process is integrated with a DFSS methodology to provide a more efficient way to ensure that customer critical-to-quality (CTQ) requirements are met in the final product.
Imagine all the variables that can affect the performance of your design—from part tolerances to process variations and environmental conditions. Testing a physical prototype for even a fraction of these factors can be expensive, time-consuming, and error-prone. However, you can significantly cut the costs of testing by simulating with virtual prototypes.
A model-driven Design for Six Sigma (DFSS) approach provides an effective structure for managing a complex development process while reducing costs through virtual prototyping. DFSS methodologies typically start by defining a project and then analyzing customer needs—producing a set of customer critical to quality (CTQ) specifications. Incorporating a model-driven development process into the DFSS methodology can help ensure that these CTQs are met in the final product.
Related Semiconductor IP
- AES GCM IP Core
- High Speed Ethernet Quad 10G to 100G PCS
- High Speed Ethernet Gen-2 Quad 100G PCS IP
- High Speed Ethernet 4/2/1-Lane 100G PCS
- High Speed Ethernet 2/4/8-Lane 200G/400G PCS
Related White Papers
- ASIC vendors heed call for virtual prototyping tools
- Why you need RTL virtual prototyping
- Silicon virtual prototyping eyed for FPGAs
- A SystemC based Virtual Prototyping Methodology for Embedded Systems
Latest White Papers
- New Realities Demand a New Approach to System Verification and Validation
- How silicon and circuit optimizations help FPGAs offer lower size, power and cost in video bridging applications
- Sustainable Hardware Specialization
- PCIe IP With Enhanced Security For The Automotive Market
- Top 5 Reasons why CPU is the Best Processor for AI Inference