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Ambiguity Measures in Requirements Engineering

机译:需求工程中的模棱两可措施

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In many software system development projects, the documents available for requirement analysis are couched in natural language. However, their quality is not always optimal, owing to the presence of ambiguous expressions open to different interpretations. This may be an obstacle against understanding of the problem and against the identification and subsequent modelling of requirements. It may, moreover, hamper the development process as a whole and be deleterious to the quality of the system. This paper proposes a scheme with which to define indices of ambiguity, both structural and semantic. It also investigates the feasibility of calculating these indices using the knowledge base of a natural language processing system and the outputs produced during the text parsing phase. It may thus be possible rapidly to signal the terms and phrases open to several interpretations and thereby improve the quality of the requirements analysis process.
机译:在许多软件系统开发项目中,可用于需求分析的文件以自然语言。然而,由于存在模棱两可表达对不同的解释开放,他们的质量并不总是最佳的。这可能是对解决问题的障碍,以及针对识别和随后的要求建模。此外,它可能会妨碍发展过程整体,并对系统的质量有害。本文提出了一种规范结构和语义的模糊索引的方案。它还研究了使用自然语言处理系统的知识库和文本解析阶段期间产生的输出计算这些指标的可行性。因此,可以迅速地发信号以发出若干解释的术语和短语,从而提高需求分析过程的质量。

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