Automatic Generation Method of Airborne Display and Control System Requirement Domain Model Based on NLP

Autor:	Gao Zhongjie, Wei Yin, Kang Jiexiang, Yu Mengyuan, Wang Lisong, Hui Wang, Cao Buzhan
Rok vydání:	2021
Předmět:	Statement (computer science) Parsing business.industry Computer science Parse tree Domain model computer.software_genre Communications system Process automation system Automation Preprocessor Artificial intelligence business computer Natural language processing
Zdroj:	ICCCS
DOI:	10.1109/icccs52626.2021.9449277
Popis:	Domain modeling is a crucial step from natural language requirements to precise specifications, and an essential support for the development of automation system design tools. The existing domain model extraction methods are not accurate enough to be applied into specific fields. In this paper, we present a method for extracting the requirement domain model of airborne display and control system based on Natural Language Processing (NLP). Firstly, the domain model template is defined on the basis of the detailed study of the existing rules. Then in the requirement statement, the parse tree generated from Stanford Parser is utilized to preprocess the requirements for special symbols and conjunctions. Finally, we conduct the comparative experiment and the results indicate that the precision of domain model extraction is 20.01% higher than the existing approaches without preprocessing.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::154df4a155db46d096fc183eccbf56ee https://doi.org/10.1109/icccs52626.2021.9449277 Zobrazit plný text záznamu