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논문 기본 정보

자료유형
학술대회자료
저자정보
Wang Jiawen (IBM System and Technology Group) Liu Zhigui (IBM System and Technology Group) Wang Suliang (IBM System and Technology Group) Liu Yang (IBM System and Technology Group) Li Yufei (IBM System and Technology Group) Yang Hao (IBM System and Technology Group)
저널정보
대한전자공학회 대한전자공학회 ISOCC ISOCC 2013 Conference
발행연도
2013.11
수록면
298 - 301 (4page)

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With the evolution of modern verification methodologies, system-level verification using constrained-random stimulus is a high priority, especially in very large communication applications. A key goal to address is providing fast, effective test coverage. In this paper, we propose a novel method to achieve this goal using a genetic algorithm. First, we present background information about coverage-driven verification methodology, as well as the basic concept and process of the genetic algorithm. Next, we discuss the details of the novel method for integrating this algorithm into a practical verification process. Thereafter, we introduce a simple simulation platform coded in C for benchmarking the proposed method, and present results which illustrate a sharp reduction in the times to complete all coverage bins compared to the traditional test coverage method. Finally, we use a peripheral component interconnect express (PCIE) system as a case study to show the effectiveness of the proposed method in a real application.

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Abstract
Introduction
Genetic Algorithm
Novel Method
Experimental Results
Conclusions
Reference

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UCI(KEPA) : I410-ECN-0101-2016-569-001049102