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A Formalization Method to Process Structured Natural Language to Logic Expressions to Detect Redundant Specification and Test Statements

机译:将结构化自然语言的正式化方法与逻辑表达式进行处理以检测冗余规范和测试语句

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Automotive systems are constantly increasing in complexity and size. Beside the increase of requirements specifications and related test specification due to new systems and higher system interaction, we observe an increase of redundant specifications. As the predominant specification language (both for requirements and test cases) is still natural text, it is not easy to detect these redundancies. In principle, to detect these redundancies, each statement has to be compared to all others. This proves to be difficult because of number and informal expression of statements. In this paper we propose a solution to the problem of detecting redundant specification and test statements described in structured natural language. We propose a formalization process for requirements specification and test statements, allowing us to detect redundant statements and thus reduce the efforts for specification and validation. Specification Pattern Systems and Linear Temporal Logic provide the base for our process. We did evaluate the method in the context of Mercedes-Benz Passenger Car Development. The results show that for the investigated sample set of test statements, we could detect about 30% of test steps as redundant. This indicates the savings potential of our approach.
机译:汽车系统在复杂性和尺寸方面不断增加。除了由于新系统和更高的系统交互导致需求规格和相关测试规范的旁边,我们观察冗余规格的增加。作为主要的规范语言(对于要求和测试用例)仍然是自然文本,不容易检测这些冗余。原则上,要检测这些冗余,每个陈述都必须与其他声明进行比较。由于陈述的数量和非正式表达,这证明是困难的。在本文中,我们提出了一种解决方法来检测结构化自然语言中描述的冗余规范和测试语句的问题。我们提出了一个正式化进程,用于要求规范和测试报表,允许我们检测冗余语句,从而减少规范和验证的努力。规范模式系统和线性时间逻辑为我们的过程提供了基础。我们确实评估了梅赛德斯 - 奔驰乘用车发展的方法。结果表明,对于调查的样本集测试陈述,我们可以检测到冗余的大约30%的测试步骤。这表明了我们方法的储蓄潜力。

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