Class Diagram Extraction from Textual Requirements Using Natural Language Processing (NLP) Techniques

M. Ibrahim, R. Ahmad
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引用次数: 83

Abstract

The automation of class generation from natural language requirements is highly challenging. This paper proposes a method and a tool to facilitate requirements analysis process and class diagram extraction from textual requirements supporting natural language processing NLP and Domain Ontology techniques. Requirements engineers analyze requirements manually to come out with analysis artifacts such as class diagram. The time spent on the analysis and the low quality of human analysis proved the need of automated support. A "Requirements Analysis and Class Diagram Extraction (RACE)" is a desktop instrument to assist requirements analysts and SE students in analyzing textual requirements, finding core concepts and its relationships, and step by step extraction of the class diagram. The evaluation of RACE system is in the process and will be conducted using two forms of evaluation, experimental and expert evaluation.
使用自然语言处理技术从文本需求中提取类图
从自然语言需求生成类的自动化是非常具有挑战性的。本文提出了一种支持自然语言处理和领域本体技术的方法和工具,以方便从文本需求中提取需求分析过程和类图。需求工程师手动分析需求,得出诸如类图之类的分析工件。花费在分析上的时间和人工分析的低质量证明了自动化支持的必要性。“需求分析和类图提取(RACE)”是一个桌面工具,用于帮助需求分析师和SE学生分析文本需求,找到核心概念及其关系,并逐步提取类图。RACE系统的评估正在进行中,将采用实验评估和专家评估两种评估形式进行。
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