Automatic generation of SysML requirement models based on Chinese natural language requirements

Jialu Chen, Baokun Hu, W. Diao, Yuqian Huang
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Abstract

In the face of increasingly complex systems engineering R&D, Model-Based Systems Engineering (MBSE) is gradually replacing Traditional Systems Engineering, producing a significant shift in modelling language, modelling thinking and modelling tools. And SysML, as a common modelling language for MBSE practitioners, has many irreplaceable advantages. Requirements diagrams are the primary medium of SysML for conveying traceability between requirements and from requirements to structure and behaviour in a system model. Today, how to automate the construction of SysML requirements models is a significant challenge. This paper proposes an automatic SysML model generation method based on Chinese free-text requirements using natural language processing. Firstly, perform word segmentation and POS Tagging on the requirement text to construct a domain lexicon, extract effective requirements by combining the domain lexicon and regular expressions, and then mark the effective requirements with semantic roles, and determine the requirements elements through established rules, which are ultimately converted into SysML requirements diagrams.
基于中文自然语言需求的SysML需求模型的自动生成
面对日益复杂的系统工程研发,基于模型的系统工程(MBSE)正在逐渐取代传统的系统工程,在建模语言、建模思维和建模工具方面产生了重大的转变。SysML作为MBSE从业者常用的建模语言,具有许多不可替代的优点。需求图是SysML的主要媒介,用于传递需求之间以及从需求到系统模型中的结构和行为的可追溯性。如今,如何自动化SysML需求模型的构建是一个重大挑战。提出了一种基于中文自由文本需求的SysML模型自动生成方法。首先对需求文本进行分词和POS标注,构建领域词典,结合领域词典和正则表达式提取有效需求,然后用语义角色对有效需求进行标记,通过建立规则确定需求元素,最终转化为SysML需求图。
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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