CM-Builder:一个自动化的基于人工智能的CASE工具

H. Harmain, R. Gaizauskas
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引用次数: 104

摘要

本文描述了一个基于自然语言的CASE工具CM-Builder,该工具旨在支持面向对象框架下软件开发的分析阶段。CM-Builder使用强大的自然语言处理技术来分析用英语编写的软件需求文本,并为处理后的文本构建一个集成的话语模型,并用语义网络表示。然后使用这个语义网络自动构建一个初始UML类模型,表示文本中提到的对象类以及它们之间的关系。初始模型可以直接输入到图形化的CASE工具中,以供人工分析人员进一步细化。CM-Builder已经在一组未见过的软件需求文本的盲试验中进行了定量评估,我们给出了评估的结果,以及评估方法。结果非常令人鼓舞,并且证明了CM-Builder等工具在软件开发过程中具有发挥重要作用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CM-Builder: an automated NL-based CASE tool
This paper describes a natural language-based CASE tool called CM-Builder which aims at supporting the analysis stage of software development in an object-oriented framework. CM-Builder uses robust natural language processing techniques to analyse software requirements texts written in English and build an integrated discourse model of the processed text, represented in a semantic network. This semantic network is then used to automatically construct an initial UML class model representing the object classes mentioned in the text and the relationships among them. The initial model can be directly input to a graphical CASE tool for further refinement by a human analyst. CM-Builder has been quantitatively evaluated in blind trials against a collection of unseen software requirements texts and we present the results of this evaluation, together with the evaluation methodology. The results are very encouraging and demonstrate that tools such as CM-Builder have the potential to play an important role in the software development process.
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