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Scenario Analysis: Generation of Possible Scenario Interpretations and their Visualization

机译:方案分析:可能的方案说明的生成及其可视化

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Natural language is the main presentation means in industrial requirements documents. In such documents, system behavior is mostly specified in the form of scenarios, with every scenario written as a sequence of sentences in natural language. The scenarios are often incomplete: 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. In our previous work we developed an approach to translate textual scenarios to message sequence charts (MSCs). In order that the produced MSCs can be used for further development, they must be validated: i.e., for each MSC we have to say whether it really represents a possible system behavior, and whether the textual scenario was correctly interpreted. In the presented paper we suggest an approach to visualize different interpretations for the same scenario. For visualized scenarios, the user can decide, which of them represent allowed system behavior. This allows, in turn, to generalize exemplary scenarios to universal specifications. Applicability of the presented approach was confirmed in a case study.
机译:自然语言是工业需求文档中的主要表示手段。在此类文档中,系统行为通常以场景的形式指定,每个场景都以自然语言的句子序列形式编写。场景通常是不完整的:对于需求文档的作者而言,某些事实是如此明显,以至于他们忘记提及它们。这肯定会给需求分析师带来麻烦。在我们以前的工作中,我们开发了一种将文本方案转换为消息序列图(MSC)的方法。为了使所产生的MSC可以用于进一步的开发,必须对其进行验证:即,对于每个MSC,我们必须说它是否真的代表可能的系统行为,以及文本场景是否被正确解释。在提出的论文中,我们建议一种可视化同一场景的不同解释的方法。对于可视化方案,用户可以决定,哪个代表允许的系统行为。继而,这允许将示例性场景概括为通用规范。案例研究证实了所提出方法的适用性。

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