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Treatment of Passive Voice and Conjunctions in Use Case Documents

机译:用例文献中的被动语音和连词处理

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Requirements engineering, the first phase of any software development project, is the Achilles' heel of the whole development process, as requirements documents are often inconsistent and incomplete. In industrial requirements documents natural language is the main presentation means. In such documents the system behavior is specified in the form of use cases and their scenarios, written as a sequence of sentences in natural language. For the authors of requirements documents some facts are so obvious that they forget to mention them. This surely causes problems for the requirements analyst. Missing information manifests itself, for example, in sentences in passive voice: such sentences just say that some action is performed, but they do not say who performs the action. In the case of requirement analysis this poses a serious problem, as in every real system there is an actor for every performed action. There already exists an approach able to guess missing actors and actions. However, the existing approach is able to handle sentences containing exactly one verb only. The approach presented in this paper extends the existing one by treatment of compound sentences and passive voice. Feasibility of the presented approach to the treatment of passive and conjunctions was confirmed in a case study.
机译:要求工程是任何软件开发项目的第一阶段,是整个开发过程的阿基尔的脚跟,因为要求文件往往不一致和不完整。在工业要求中,文件自然语言是主要演示意味着。在这样的文献中,系统行为是以用例的形式指定的,作为自然语言中的一系列句子编写的。对于要求的作者文件,一些事实是如此明显,他们忘记提及他们。这肯定会导致需求分析师的问题。例如,缺少信息表现在被动语音中的句子中:这样的句子只是说出了一些操作,但他们不说谁执行动作。在要求分析的情况下,这造成了严重的问题,就像在每个真实系统中,每个执行动作都有一个演员。已经存在一种能够猜测丢失的演员和动作的方法。然而,现有方法能够处理仅包含一个动词的句子。本文呈现的方法通过处理复合句和被动的声音来扩展现有的方法。在案例研究中确认了所提出的伴随方法的方法的可行性。

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