A Framework for Automated Combinatorial Test Generation, Execution, and Fault Characterization

Joshua Bonn, Konrad Foegen, H. Lichter
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引用次数: 15

Abstract

Fault characterization is an important part of combinatorial testing, enabling it to automatically narrow down failed test inputs to specific failure-inducing combinations. As most current fault characterization algorithms adaptively generate more test inputs based on previous test execution results, a framework that integrates modelling, generation, execution, and fault characterization is necessary. Until now, no such framework exists, resulting in much manual work needed to identify failureinducing combinations.We therefore introduce COFFEe, which is a framework for completely automatic combinatorial testing and fault characterization. In this paper, we derive an architecture for the framework and present coffee4j, a Java implementation of COFFEe that integrates the JUnit5 test framework.
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用于自动组合测试生成、执行和故障表征的框架
故障表征是组合测试的重要组成部分,使其能够自动将失败的测试输入缩小到特定的故障诱导组合。由于大多数当前的故障表征算法基于先前的测试执行结果自适应地生成更多的测试输入,因此集成建模、生成、执行和故障表征的框架是必要的。到目前为止,还没有这样的框架存在,导致需要大量的手工工作来识别导致故障的组合。因此,我们引入了COFFEe,它是一个完全自动组合测试和故障表征的框架。在本文中,我们为该框架导出了一个体系结构,并提出了coffee4j,这是一个集成了JUnit5测试框架的COFFEe的Java实现。
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