SBST工具竞赛2021

Sebastiano Panichella, Alessio Gambi, Fiorella Zampetti, Vincenzo Riccio
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引用次数: 40

摘要

我们报告了第九届Java单元测试竞赛和第一版网络物理系统测试工具竞赛的组织、挑战和结果。Java单元测试竞赛。今年,五个工具,Randoop, UtBot, Kex, Evosuite和EvosuiteDSE,在一个基准测试上执行,其中(i)从三个开源软件项目中选择了新的测试类,以及(ii)在第八版中考虑的三个项目中的类集。我们依赖于改进的Docker基础架构来执行工具以及随后的覆盖和突变分析。考虑到大量的参与者,我们只考虑了生成测试用例的两个时间预算:30秒和2分钟。赛博-物理系统测试工具竞赛。deep、freatic、GABExplore、GAB Exploit和Swat这五个工具,通过使用我们新的测试基础设施生成基于模拟的测试,在测试自动驾驶汽车软件方面展开了竞争。我们考虑了两种实验设置来研究测试生成器的暂态和渐近行为,并评估了工具的测试生成有效性和暴露故障的多样性。本文介绍了我们的方法,结果的统计分析与参赛工具,以及在进行比赛实验时面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SBST Tool Competition 2021
We report on the organization, challenges, and results of the ninth edition of the Java Unit Testing Competition as well as the first edition of the Cyber-Physical Systems Testing Tool Competition. Java Unit Testing Competition. This year, five tools, Randoop, UtBot, Kex, Evosuite, and EvosuiteDSE, were executed on a benchmark with (i) new classes under test, selected from three open-source software projects, and (ii) the set of classes from three projects considered in the eighth edition. We relied on an improved Docker infrastructure to execute the tools and the subsequent coverage and mutation analysis. Given the high number of participants, we considered only two time budgets for test case generation: thirty seconds and two minutes. Cyber- Physical Systems Testing Tool Competition. Five tools, Deeper, Frenetic, GABExplore, GAB Exploit, and Swat, competed on testing self-driving car software by generating simulation-based tests using our new testing infrastructure. We considered two experimental settings to study test generators' transitory and asymptotic behaviors and evaluated the tools' test generation effectiveness and the exposed failures' diversity. This paper describes our methodology, the statistical analysis of the results together with the contestant tools, and the challenges faced while running the competition experiments.
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