Extracting Requirements Models from Natural-Language Document for Embedded Systems

Most of the requirements of embedded systems are written in natural language by users or customers. When the size of the document is large, it is not easy for developers to understand and analyze these requirements. Requirements modeling has been widely used and proven to be helpful to understand and analyze requirements. Manual analysis of these natural language requirements and extracting models are time-consuming and error-prone. Therefore, in this paper, we present a framework to extract model elements and semi-automatically generate requirements models from the NL requirements document for embedded systems. This leads to considerably simplify and accelerate the requirements development for embedded systems.