AUSTIN: A Tool for Search Based Software Testing for the C Language and Its Evaluation on Deployed Automotive Systems

Kiran Lakhotia, M. Harman, Hamilton Gross
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引用次数: 53

Abstract

Despite the large number of publications on Search--Based Software Testing (SBST), there remain few publicly available tools. This paper introduces AUSTIN, a publicly available SBST tool for the C language. The paper validates the tool with an empirical study of its effectiveness and efficiency in achieving branch coverage compared to random testing and the Evolutionary Testing Framework (ETF), which is used in-house by Daimler and others for Evolutionary Testing. The programs used in the study consist of eight non--trivial, real-world C functions drawn from three embedded automotive software modules. For the majority of the functions, AUSTIN is at least as effective (in terms of achieved branch coverage) as the ETF, and is considerably more efficient.
基于搜索的C语言软件测试工具及其在已部署汽车系统中的评估
尽管有大量关于基于搜索的软件测试(SBST)的出版物,仍然很少有公开可用的工具。本文介绍了AUSTIN,这是一个针对C语言的公开可用的SBST工具。与随机测试和进化测试框架(ETF)相比,本文通过实证研究验证了该工具在实现分支覆盖方面的有效性和效率,后者被戴姆勒和其他公司用于进化测试。研究中使用的程序由八个重要的、真实的C函数组成,这些函数来自三个嵌入式汽车软件模块。对于大多数功能,AUSTIN至少与ETF一样有效(就实现的分支覆盖而言),而且效率要高得多。
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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