教学数字系统测试

Adeboye Stephen Oyeniran, R. Ubar, M. Kruus
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引用次数: 1

摘要

本文提出了复杂数字系统测试教学的新概念。提出了一套方法和工具来支持微处理器系统测试生成和测试质量评估的实验室场景。场景包括测试程序合成和测试数据生成的任务(微处理器的数据和控制部分分开),以及根据故障覆盖率评估测试质量的任务。为了更容易地理解系统行为中的因果关系,提出了一种新的数字系统高级诊断模型——高级决策图。所提出的概念和实验室场景为在组织分层方法中应用创造性提出了挑战,以便以最好的方式设计测试过程,以应对系统复杂性。提出的基于图形的诊断建模方法使学生更容易快速理解问题,而无需在传统设计描述中与大量细节作斗争。本文旨在为计算机工程教育提供新的工具和材料,以解决作为学习和教育一部分的创新系统设计和测试任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching Digital System Test
The paper proposes a novel concept of teaching how to test complex digital systems. A set of methods and tools is presented to support laboratory scenarios for test generation and test quality evaluation for microprocessor systems. The scenarios include tasks of test program synthesis and test data generation (separately for data and control parts of microprocessors), and for evaluating test quality in terms of fault coverage. A novel high-level diagnostic model of digital systems in the form of High-Level Decision Diagrams is introduced to make understanding of cause-effect relationships in behavior of systems easier. The presented conception and lab scenarios set up challenges for applying creativity in organizing hierarchical approaches for designing test procedures in the best way to cope with systems complexity. The proposed graph-based diagnostic modeling method makes it easier for students to understand the problems quickly without the need to struggle with huge amount of details in traditional design descriptions. The paper contributes to providing new tools and materials for computer engineering education with the goal to solve innovative system design and test tasks as part of learning and education.
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