情景分析:可能情景解释的生成及其可视化

L. Kof
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引用次数: 2

摘要

自然语言是工业需求文档的主要表示方式。在这样的文档中,系统行为主要以场景的形式指定,每个场景都用自然语言写成一系列句子。场景通常是不完整的:对于需求文档的作者来说,一些事实是如此明显,以至于他们忘记了提及它们;这无疑会给需求分析人员带来问题。在我们之前的工作中,我们开发了一种将文本场景转换为消息序列图(msc)的方法。为了使生成的MSC能够用于进一步的开发,必须对它们进行验证:即,对于每个MSC,我们必须说它是否真的代表了可能的系统行为,以及文本场景是否被正确解释。在本文中,我们提出了一种方法来可视化不同的解释相同的场景。对于可视化场景,用户可以决定哪些场景代表允许的系统行为。反过来,这允许将示例场景推广到通用规范。在一个案例研究中证实了所提出方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scenario Analysis: Generation of Possible Scenario Interpretations and their Visualization
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 ourpreviouswork we developedan approachto 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.
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