现有api的可测试性转换

Andrea Arcuri, Juan P. Galeotti
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引用次数: 13

摘要

基于搜索的软件测试(SBST)已经被证明是一种自动生成测试用例的有效技术。其有效性很大程度上取决于适应度函数的引导。不幸的是,SBST中的一个常见问题是所谓的标志问题,即适合度呈现出一个平台,无法提供任何指导。在本文中,我们提供了一系列新的可测试性转换,旨在为常用API调用的上下文中提供指导。例如,字符串需要转换为有效的日期/时间对象。我们将我们的新技术作为EVOMASTER的扩展来实现,EVOMASTER是一个生成系统级测试用例的SBST工具。在六个开源REST web服务和一个工业服务上的实验表明,我们的新技术显著提高了性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testability Transformations For Existing APIs
Search-based software testing (SBST) has been shown to be an effective technique to generate test cases automatically. Its effectiveness strongly depends on the guidance of the fitness function. Unfortunately, a common issue in SBST is the so called flag problem, where the fitness landscape presents a plateau that provides no guidance. In this paper, we provide a series of novel testability transformations aimed at providing guidance in the context of commonly used API calls. An example is when strings need to be converted into valid date/time objects. We implemented our novel techniques as an extension to EVOMASTER, a SBST tool that generates system level test cases. Experiments on six open-source REST web services, and an industrial one, show that our novel techniques improve performance significantly.
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