Part 2: The 2020 Wilson Research Group Functional Verification Study
In my previous blog, I introduced the 2020 Wilson Research Group Functional Verification Study (click here). The objective of my previous blog was to provide an overview on our large, worldwide industry study. The key findings from this study will be presented in a set of upcoming blogs.
In this blog, I present the findings from our new study related how successful FPGA projects are in terms of verification effectiveness.
FPGA Verification Effectiveness
Non-Trivial Bug Escapes
IC/ASIC projects have often used the metric “number of required spins before production” as a benchmark to assess a project’s verification effectiveness. Historically, about 30 percent of IC/ASIC projects are able to achieve first silicon success, and most successful designs are productized on the second silicon spin. Unfortunately, FPGA projects have no equivalent metric. As an alternative to IC/ASIC spins, our study asked the FPGA participants “how many non-trivial bugs escaped into production?” The results shown in fig. 2-1 are somewhat disturbing. In 2020, only 17 percent of all FPGA projects were able to achieve no bug escapes into production, which is worse than IC/ASIC in terms of first silicon success, and for some market segments, the cost of field repair can be significant. For example, in the mil-aero market, once a cover has been removed on a system to upgrade the FPGA, the entire system needs to be revalidated.
Types of Flaws Resulting in Non-Trivial Bug Escapes
Fig. 2-2 shows various categories of design flaws contributing to FPGA non-trivial bug escapes. The percentage of “logic or functional flaws” remains the leading cause of bugs. New flaws being tracked in the 2020 study are associated with safety (8 percent) and security (6 percent) features. Obviously multiple flaws can contribute to bug escapes, which is the reason the total percentage of flaws sums to more than 100 percent.
Fig. 2-3 demonstrates the root cause of logical or functional flaws by various categories. The data suggest design errors are the leading cause of functional flaws, and the situation is worsening. In addition, problems associated with changing, incorrect, and incomplete specifications are a common theme often voiced by many verification engineers and project managers.
Design Completion Compared to Original Schedule
In addition to bug escape metrics that we used to determine an FPGA project’s effectiveness, another metric we tracked was project completion compared to the original schedule, as shown in fig. 2-4. Here we found that 68 percent of FPGA projects were behind schedule. One indication of growing design and verification complexity is reflected in the increasing number of FPGA projects missing schedule by more than 50 percent during the period 2012 through 2020.
In my next blog, I’ll focus on verification effort trends related to FPGA designs.
Quick links to the 2020 Wilson Research Group Study results
- Prologue: The 2020 Wilson Research Group Functional Verification Study
- Understanding and Minimizing Study Bias (2020 Study)
- Part 1 – FPGA Design Trends
- Part 2 – FPGA Verification Effectiveness Trends
- Part 3 – FPGA Verification Effort Trends
- Part 4 – FPGA Verification Effort Trends (Continued)
- Part 5 – FPGA Verification Technology Adoption Trends
- Part 6 – FPGA Verification Language and Library Adoption Trends
- Part 7 – IC/ASIC Design Trends
- Part 8 – IC/ASIC Resource Trends
- Part 9 – IC/ASIC Verification Technology Adoption Trends
- Part 10 – IC/ASIC Language and Library Adoption Trends
- Part 11 – IC/ASIC Power Management Trends
- Part 12 – IC/ASIC Verification Results Trends
- Conclusion: The 2020 Wilson Research Group Functional
- Epilogue: The 2020 Wilson Research Group Functional Verification Study