Facilitating Fault-Simulation Comprehension through a Fault-Lists Analysis Tool

P. Bernardi, D. Piumatti, E. Sánchez
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引用次数: 3

Abstract

The complexity of modern embedded processors used in safety-critical applications requires in-field self-test strategies. The most popular ones are based on hardware and software-based approaches such as Logic-BIST (L-BIST) and Software-Based Self-Test (SBST). While the first one requires to include in the device additional hardware, the second consists on the execution of a set of assembly programs, usually called a Software Test Library (STL). In this context, in case the STL strategy is adopted for infield testing of the device, a very time consuming task is necessary to validate the final results of the test library. This process includes fault simulation for every test program and aims at determine the actual contribution that a given test may provide to the final test library, by manipulating intermediate results, comparing, including, and excluding the test program results with respect to all the others. This task is useful, for example, to understand whether the changes made to a test program produced a gain in the final fault coverage or not. In this paper, we propose for the very first time, a Fault List Analysis Tool that is able to support the development of a STL by performing some fault-list oriented operations on the preliminary results obtained during the development process. Some experimental results were gathered during the STL development for various industrial processors.
通过故障列表分析工具促进故障模拟理解
用于安全关键应用的现代嵌入式处理器的复杂性需要现场自检策略。最流行的是基于硬件和软件的方法,如逻辑自测试(L-BIST)和基于软件的自测(SBST)。第一个测试需要在设备中包含额外的硬件,第二个测试需要执行一组汇编程序,通常称为软件测试库(STL)。在这种情况下,如果采用STL策略对设备进行内场测试,则需要非常耗时的任务来验证测试库的最终结果。该过程包括对每个测试程序的故障模拟,并旨在通过操纵中间结果,比较、包括和排除测试程序结果,确定给定测试可能提供给最终测试库的实际贡献。这个任务是有用的,例如,了解对测试程序所做的更改是否在最终的故障覆盖率中产生增益。在本文中,我们首次提出了一个故障列表分析工具,该工具能够通过对开发过程中获得的初步结果执行一些面向故障列表的操作来支持STL的开发。在各种工业处理器的STL开发过程中,收集了一些实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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