A Deep Learning Based Framework for Textual Requirement Analysis and Model Generation
Yongiun Qie, Weijie Zhu, Aishan Liu, Yuchen Zhang, Jun Wang, Teng Li, Yaqing Li, Yufei Ge, Yufeng Wang · 2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC) · 2018
Requirement analysis is a key part of systems engineering process. Analyzing requirements correctly and creating design model sequentially could be critical to the whole process of a product development. Nevertheless, requirement text handling and model transferring could be really time-consuming and error-prone. Thus, we proposed an artificial intelligence based framework to deal with textual requirement handling and model creation. With deep learning and natural language process skills, our approach could be able to analyze textual requirements automatically, and then create the related models. This would indeed alleviate the work of engineers and promote the efficiency and quality of product development process. With our limited knowledge, our paper is the first one to propose the deep learning and NLP based framework to automatically create requirement models.