A framework for automated multi-stage and multi-step product configuration of cyber-physical systems

被引:0
|
作者
Safdar Aqeel Safdar
Hong Lu
Tao Yue
Shaukat Ali
Kunming Nie
机构
[1] Simula Research Laboratory,
[2] University of Oslo,undefined
[3] Beijing Aerocim Technology Co.,undefined
[4] Ltd.,undefined
来源
关键词
Cyber-physical systems; Product line engineering; Automated configuration; Multi-stage and multi-step configuration process; Constraint classification; Variability modeling; Real-world case studies;
D O I
暂无
中图分类号
学科分类号
摘要
Product line engineering (PLE) has been employed to large-scale cyber-physical systems (CPSs) to provide customization based on users’ needs. A PLE methodology can be characterized by its support for capturing and managing the abstractions as commonalities and variabilities and the automation of the configuration process for effective selection and customization of reusable artifacts. The automation of a configuration process heavily relies on the captured abstractions and formally specified constraints using a well-defined modeling methodology. Based on the results of our previous work and a thorough literature review, in this paper, we propose a conceptual framework to support multi-stage and multi-step automated product configuration of CPSs, including a comprehensive classification of constraints and a list of automated functionalities of a CPS configuration solution. Such a framework can serve as a guide for researchers and practitioners to evaluate an existing CPS PLE solution or devise a novel CPS PLE solution. To validate the framework, we conducted three real-world case studies. Results show that the framework fulfills all the requirements of the case studies in terms of capturing and managing variabilities and constraints. Results of the literature review indicate that the framework covers all the functionalities concerned by the literature, suggesting that the framework is complete for enabling the maximum automation of configuration in CPS PLE.
引用
收藏
页码:211 / 265
页数:54
相关论文
共 50 条
  • [21] A Cyber-Physical Game Framework for Secure and Resilient Multi-Agent Autonomous Systems
    Xu, Zhiheng
    Zhu, Quanyan
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 5156 - 5161
  • [22] A microservice-based framework for multi-level testing of cyber-physical systems
    Iñigo Aldalur
    Aitor Arrieta
    Aitor Agirre
    Goiuria Sagardui
    Maite Arratibel
    Software Quality Journal, 2024, 32 : 193 - 223
  • [23] A microservice-based framework for multi-level testing of cyber-physical systems
    Aldalur, Inigo
    Arrieta, Aitor
    Agirre, Aitor
    Sagardui, Goiuria
    Arratibel, Maite
    SOFTWARE QUALITY JOURNAL, 2024, 32 (01) : 193 - 223
  • [24] An Agent-Based Industrial Cyber-Physical System Deployed in an Automobile Multi-stage Production System
    Queiroz, Jonas
    Leitao, Paulo
    Barbosa, Jose
    Oliveira, Eugenio
    Garcia, Gisela
    SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE, 2020, 853 : 379 - 391
  • [25] Cyber-physical robotics - automated analysis, programming and configuration of robot cells based on Cyber-Physical-Systems
    Michniewicz, Joachim
    Reinhart, Gunther
    2ND INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: CHALLENGES FOR PRODUCT AND PRODUCTION ENGINEERING, 2014, 15 : 566 - 575
  • [26] A Framework for Developing Cyber-Physical Systems
    He, Xudong
    Dong, Zhijiang
    Yin, Heng
    Fu, Yujian
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2017, 27 (9-10) : 1361 - 1386
  • [27] Hierarchical Multi-Formalism Proofs of Cyber-Physical Systems
    Whalen, Michael W.
    Rayadurgam, Sanjai
    Ghassabani, Elaheh
    Murugesan, Anitha
    Sokolsky, Oleg
    Heimdahl, Mats P. E.
    Lee, Insup
    2015 ACM/IEEE INTERNATIONAL CONFERENCE ON FORMAL METHODS AND MODELS FOR CODESIGN (MEMOCODE), 2015, : 90 - 95
  • [28] Security of Multi-Agent Cyber-Physical Systems: A Survey
    Owoputi, Richard
    Ray, Sandip
    IEEE ACCESS, 2022, 10 : 121465 - 121479
  • [29] Resilience Assessment of Multi-Layered Cyber-Physical Systems
    Dagnas, Romain
    Barbeau, Michel
    Garcia-Alfaro, Joaquin
    Yaich, Reda
    2024 23RD IFIP NETWORKING CONFERENCE, IFIP NETWORKING 2024, 2024, : 634 - 639
  • [30] DEMO: Multi-Grain Adaptivity in Cyber-Physical Systems
    Rodriguez, Alfonso
    Fanni, Tiziana
    2018 30TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM), 2018, : 44 - 47