Source code transformation for software-based on-line error detection

Tsung-Yen Tsai, Jiun-Lang Huang
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引用次数: 4

Abstract

With the widespread deployment of ICs into safety-critical systems, ensuring in-field reliability for the expected IC life span becomes a serious challenge. One solution to improving reliability is software-based on-line error detection; the idea is to empower the application program to detect run-time errors which may be permanent, intermittent, or transient. In this paper, we propose a set of high-level source code transformation rules to facilitate software-based on-line error detection. Compared to previous works, the proposed source code transformation rules improve the coverage on flow control constructs and can handle structures as well as structure pointers. Experiments on singlebit error injection show that in average only 1.08% of faults that modify the program behavior are undetected.
基于软件的在线错误检测的源代码转换
随着IC在安全关键系统中的广泛部署,确保IC预期寿命的现场可靠性成为一个严峻的挑战。提高可靠性的一个解决方案是基于软件的在线错误检测;其思想是使应用程序能够检测运行时错误,这些错误可能是永久的、间歇的或短暂的。在本文中,我们提出了一套高级源代码转换规则,以促进基于软件的在线错误检测。与以前的工作相比,所提出的源代码转换规则提高了对流控制构造的覆盖,并且可以处理结构和结构指针。对单比特错误注入的实验表明,平均只有1.08%的修改程序行为的错误未被检测到。
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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