Computer Science ›› 2025, Vol. 52 ›› Issue (9): 346-359.doi: 10.11896/jsjkx.240600022

• Computer Software • Previous Articles     Next Articles

Survey on Formal Modelling and Quantitative Analysis Methods for Complex Systems

WANG Huiqiang, LIN Yang, LYU Hongwu   

  1. College of Computer Science and Technology,Harbin Engineering University,Harbin 150000,China
  • Received:2024-06-03 Revised:2024-12-17 Online:2025-09-15 Published:2025-09-11
  • About author:WANG Huiqiang,born in 1960,Ph.D,professor,Ph.D supervisor,is a member of CCF(No.05814S).His main research interests include information security,autonomous computing and trusted computing,and cognitive networks.
    LYU Hongwu,born in 1983,Ph.D,professor,Ph.D supervisor.His main research interests include information security,autonomous computing and trusted computing,cognitive networks,formal modeling,and performance evaluation.
  • Supported by:
    National Natural Science Foundation of China(62272126),National Science and Technology Major Project of China(2016ZX03001023-005) and Fundamental Research Fund for the Central Universities in China(3072020CF0603).

Abstract: Formal modeling is an important fundamental method of system verification and performance analysis.It can be utilized to evaluate the feasibility and performance boundaries of the system as early as in the design phase and is widely applied for abstract simulation and theoretical analysis of various complex systems.Because the system interaction is gradually shifting towoard diversification and dynamism,this exacerbates complexity and uncertainty.Starting from the common evaluation criteria of formal modeling,this paper summarizes the advantages and disadvantages of different common formal languages and their analysis me-thods,providing technical references for formal modeling of complex systems.Firstly,this paper proposes a framework of evaluation metrics for formal modeling and solution methods.Secondly,it classifies the existing formal methods and discusses the implementation principles,advantages,limitations,and application scenarios of different methods.Thirdly,it compares the current typical solving methods around the state space explosion problem in the model-solving process and analyzes the performance in different scenarios based on the metrics selected.On this basis,this paper examines two typical application scenarios based on process algebra technology.Finally,this paper summarizes the research hotspots in formal modeling and quantitative analysis and provides a preliminary outlook on the research trends.

Key words: Performance evaluation, Formal modelling, Complex system, Model solution, State space explosion

CLC Number: 

  • TP311
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