Extracting Concepts from the Software Requirements Specification Using Natural Language Processing

Jaroslaw Kuchta, Priti Padhiyar
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引用次数: 1

Abstract

Extracting concepts from the software requirements is one of the first step on the way to automating the software development process. This task is difficult due to the ambiguity of the natural language used to express the requirements specification. The methods used so far consist mainly of statistical analysis of words and matching expressions with a specific ontology of the domain in which the planned software will be applicable. This article proposes a method and a tool to extract concepts based on a grammatical analysis of requirements written in English without the need to refer to specialized ontology. These concepts can be further expressed in the class model, which then can be the basis for the object-oriented analysis of the problem. This method uses natural language processing (NLP) techniques to recognize parts of speech and to divide sentences into phrases and also the WordNet dictionary to search for known concepts and recognize relationships between them.
使用自然语言处理从软件需求规范中提取概念
从软件需求中提取概念是实现软件开发过程自动化的第一步。由于用于表达需求规范的自然语言的模糊性,这项任务很困难。到目前为止使用的方法主要包括单词的统计分析和与计划软件将适用的领域的特定本体匹配的表达式。本文提出了一种方法和工具,可以根据用英语编写的需求的语法分析提取概念,而无需参考专门的本体。这些概念可以在类模型中进一步表达,然后可以作为问题的面向对象分析的基础。该方法使用自然语言处理(NLP)技术来识别词性,并将句子分成短语,还使用WordNet词典来搜索已知概念并识别它们之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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