信息物理系统
计算机科学
人类系统工程
自动驾驶仪
物理系统
国家(计算机科学)
软件
工作(物理)
人机交互
软件工程
人工智能
工程类
控制工程
程序设计语言
机械工程
物理
量子力学
操作系统
作者
Yu-Bin Yang,Bingjie Zeng,Z. X. Chen,Juntao Gao
标识
DOI:10.1109/rew57809.2023.00041
摘要
Human-Cyber-Physical System (H-CPS) is a complex system that achieves user goals through human-cyber-physical collaboration, which has been applied to all aspects of human work and life. The problem frames can help to specify and analyze the target system and its relevant environments, especially describe the human-cyber-physical entities and their relations. Moreover, extending problem frames with state machine, it can specify the dynamic characteristic of human-cyber-physical entities. However, the collaboration patterns between human-cyber-physical entities are not be included in the state-of-the-arts problem frames model. In this paper, we extend problem frames named PF-HCPS to support directly modeling human-cyber-physical entities and their collaborations for identify collaboration requirements between human and system at an early stage of system development. Finally, we demonstrate the extended PF-HCPS model through the case study of Tesla Autopilot. Overall, the results were satisfactory. The proposed approach can be further extended and applied for environment-driven requirements engineering in the software industry.
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