Evaluating Symbolic Execution-Based Test Tools

Lajos Cseppento, Zoltán Micskei
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引用次数: 22

Abstract

In recent years several symbolic execution-based tools have been developed to automatically select relevant test inputs from the source code of the system under test. However, each of these tools has different advantages, and there is no detailed feedback available on the actual capabilities of the various tools. In order to evaluate test input generators we collected a representative set of programming language concepts that should be handled by the tools, mapped them to 300 code snippets that would serve as inputs for the tools, created an automated framework to execute and evaluate these snippets, and performed experiments on four Java and one .NET test generator tools. The results highlight the strengths and weaknesses of each tool, and identify hard code parts that are difficult to tackle for most of the tools. We hope that our research could serve as actionable feedback to tool developers and help practitioners assess the readiness of test input generation.
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评估基于符号执行的测试工具
近年来,一些基于符号执行的工具被开发出来,用于从被测系统的源代码中自动选择相关的测试输入。然而,这些工具中的每一个都有不同的优点,并且没有关于各种工具的实际功能的详细反馈。为了评估测试输入生成器,我们收集了一组应该由工具处理的具有代表性的编程语言概念,将它们映射到300个代码片段,这些代码片段将作为工具的输入,创建了一个自动框架来执行和评估这些代码片段,并在四个Java和一个。net测试生成器工具上进行了实验。结果突出了每个工具的优点和缺点,并确定了大多数工具难以解决的硬代码部分。我们希望我们的研究可以作为工具开发人员的可操作的反馈,并帮助从业者评估测试输入生成的准备情况。
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