An efficient automated design to generate UML diagram from Natural Language Specifications

Sarita Gulia, T. Choudhury
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引用次数: 37

Abstract

The foremost problem that arises in the Software Development Cycle is during the Requirements specification and analysis. Errors that are encountered during the first phase of the cycle migrate to other phases too which in turn results in the most costly process than the original specified process. The reason is that the specifications of software requirements are termed in the Nature Language Format. One can easily transform the requirements specified into computer model using UML. To minimize the errors that arise in the existing system, we have proposed a new technique that enhances the generation of UML models through Natural Language requirements, which can easily provide automatic assistance to the developers. The main aim of our paper is to focus on the production of Activity Diagram and Sequence Diagram through Natural Language Specifications. Standard POS tagger and parser analyze the input i.e., requirements in English language given by the users and extract phrases, activities, etc. from the text specifies. The technique is beneficial as it reduces the gap between informal natural language and the formal modeling language. The input is the requirements laid down by the users in English language. Some stages like pre-processing, part of speech (POs), tagging, parsing, phrase identification and designing of UML diagrams occur along with the input. The application and its framework is developed in Java and it is tested on by implementing on a few technical documents.
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从自然语言规范生成UML图的高效自动化设计
在软件开发周期中出现的最重要的问题是在需求规范和分析期间。在周期的第一阶段遇到的错误也会迁移到其他阶段,这反过来导致比原始指定流程成本最高的流程。原因是软件需求的规格说明是用自然语言格式命名的。使用UML可以很容易地将指定的需求转换为计算机模型。为了最小化现有系统中出现的错误,我们提出了一种新的技术,通过自然语言需求增强UML模型的生成,它可以很容易地为开发人员提供自动帮助。本文的主要目的是通过自然语言规范研究活动图和序列图的生成。标准的POS标注器和解析器分析输入,即用户给出的英语语言需求,并从文本指定中提取短语、活动等。该技术是有益的,因为它减少了非正式自然语言和正式建模语言之间的差距。输入是由用户用英语提出的要求。一些阶段,如预处理、词性、标记、解析、短语识别和UML图的设计,都伴随着输入而发生。该应用程序及其框架是用Java开发的,并通过在一些技术文档上实现对其进行了测试。
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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