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Generating Test Cases for Timed Systems from Controlled Natural Language Specifications

机译:从受控自然语言规格生成定时系统的测试用例

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Dynamic testing is still the most used quality assurance technique in the automotive industry. There is a need to automate the testing process as much as possible. In this work we focus on the automatic generation of test cases from requirement specifications. To embed the approach as close as possible into existing workflows we start with natural language like specifications, as requirements are still mostly written in natural language. To support this, we specify a controlled natural language for the automotive domain. After acquiring the requirements they arc translated into a formal model. The model enables an efficient reachability analysis and allows to describe rich temporal behavior. We then use partial order planning to create positive and negative tests. The resulting test cases are able to handle non-deterministic timing behavior. Furthermore the test cases can be presented in a comprehensible way, so that the reader can validate them.
机译:动态测试仍然是汽车行业最常用的质量保证技术。需要尽可能多地自动化测试过程。在这项工作中,我们专注于从需求规范自动生成测试用例。要将方法嵌入尽可能接近现有的工作流程,我们从简洁的自然语言开始,因为需求仍然主要用自然语言编写。为支持这一点,我们为汽车域指定了一个受控的自然语言。在获取其要求后,他们将转换为正式模型。该模型可实现高效的可达性分析,并允许描述丰富的时间行为。然后,我们使用部分订单计划创建正负测试。得到的测试用例能够处理非确定性定时行为。此外,可以以可综合的方式呈现测试用例,以便读者可以验证它们。

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