面向流水线处理器在线测试的定向随机SBST生成

A. Merentitis, G. Theodorou, Mihalis Giorgaras, N. Kranitis
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引用次数: 14

摘要

基于软件的自测试(SBST)已成为嵌入式系统应用中集成处理器的非并发在线测试的有效策略。它提供了在线测试的可能性,而没有任何硬件开销。然而,测试生成通常是基于半自动化的方法,门级信息是有效的测试程序生成所必需的。在本文中,我们提出了一种转换处理器验证测试的方法,以执行自动定向随机SBST例程生成,该方法基于利用功能和高级结构模式生成方法组合开发的模板。该方法应用于OpenRISC 1200处理器上,仅使用低成本的门级独立代码生成,轻松实现86.43%的测试覆盖率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Directed Random SBST Generation for On-Line Testing of Pipelined Processors
Software-based self-test (SBST) has emerged as an effective strategy for non-concurrent on-line testing of processors integrated in embedded system applications. It offers the potential for on-line testing without any hardware overhead. However, test generation is usually based in a semi-automated approach and gate-level information is required for effective test program generation.In this paper we present a methodology for converting processor validation tests in order to perform automated directed random SBST routine generation, based on templates that are developed utilizing a combination of functional and high-level structural pattern generation approaches. The methodology is applied on the OpenRISC 1200 processor, easily achieving test coverage of 86.43%, using only low-effort gate-level independent code generation.
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