Combining state-based and scenario-based approaches in modeling biological systems

被引:0
|
作者
Fisher, J [1 ]
Harel, D
Hubbard, EJA
Piterman, N
Stern, MJ
Swerdlin, N
机构
[1] Weizmann Inst Sci, Dept Comp Sci & App Math, IL-76100 Rehovot, Israel
[2] NYU, Dept Biol, New York, NY 10003 USA
[3] Yale Univ, Sch Med, Dept Genet, New Haven, CT 06510 USA
来源
关键词
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Biological systems have recently been shown to share many of the properties of reactive systems. This observation has led to the idea of using methods devised for the construction (engineering) of complex reactive systems to the modeling (reverse-engineering) of biological systems, in order to enhance biological comprehension. Here we suggest to combine the two formal approaches used in our group - the state-based formalism of statecharts and the scenario-based formalism of live sequence charts (LSCs). We propose that biological observations are better formalized in the form of LSCs, while biological mechanistic models would be more natural to specify using statecharts. Combining the two approaches would enable one to verify the proposed mechanistic models against the real data. The biological observations can be compared to the requirements in an engineered system, and the mechanistic model would be analogous to the implementation. While requirements are used to design an implementation, here the observations are used to motivate the invention of the mechanistic model. In both cases consistency of one with the other must be established, by testing or by formal verification.
引用
收藏
页码:236 / 241
页数:6
相关论文
共 50 条
  • [1] COMPARING AND IMPROVING THE SYNTHESIS OF STATE-BASED SPECIFICATIONS FROM SCENARIO-BASED SPECIFICATIONS
    Wang, Zhijian
    Li, Wenrui
    Zhang, Pengcheng
    [J]. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2012, 22 (07) : 867 - 890
  • [2] Scenario-Based Modeling in Industrial Information Systems
    Machado, Ricardo J.
    Fernandes, Joao M.
    Barros, Joao P.
    Gomes, Luis
    [J]. DISTRIBUTED, PARALLEL AND BIOLOGICALLY INSPIRED SYSTEMS, 2010, 329 : 19 - +
  • [3] Investigating student approaches to scenario-based assessments of systems thinking
    Norris, Matthew B.
    Grohs, Jacob R.
    Knight, David B.
    [J]. FRONTIERS IN EDUCATION, 2022, 7
  • [4] Scenario-based systems architecting
    Galal, GH
    [J]. FIFTH IEEE INTERNATIONAL SYMPOSIUM ON REQUIREMENTS ENGINEERING, PROCEEDINGS, 2001, : 318 - 319
  • [5] Combining intention-oriented and state-based process modeling
    Soffer, P
    Rolland, C
    [J]. CONCEPTUAL MODELING - ER 2005, 2005, 3716 : 47 - 62
  • [6] Scenario-Based Modeling for Electromagnetic Interference Analysis on Wireless Systems
    Wiklundh, Kia
    Stenumgaard, Peter
    Fors, Karina
    Linder, Sara
    Holm, Peter
    Junholm, Leif
    [J]. 2014 INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC EUROPE), 2014, : 1269 - 1274
  • [7] Scenario-based modeling and its applications
    Bai, XY
    Tsai, WT
    Paul, R
    Feng, K
    Yu, L
    [J]. PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL WORKSHOP ON OBJECT-ORIENTED REAL-TIME DEPENDABLE SYSTEMS, 2002, : 253 - 260
  • [8] Modelling the dynamic structure of biological state-based systems
    Stamatopoulou, I.
    Kefalas, P.
    Gheorghe, M.
    [J]. BIOSYSTEMS, 2007, 87 (2-3) : 142 - 149
  • [9] Scenario-based design of cooperative systems
    Jakob Bardram
    [J]. Group Decision and Negotiation, 2000, 9 (3) : 237 - 250
  • [10] Scenario-based Validation of Embedded Systems
    Gargantini, A.
    Riccobene, E.
    Scandurra, P.
    Carioni, A.
    [J]. 2008 FORUM ON SPECIFICATION, VERIFICATION AND DESIGN LANGUAGES, 2008, : 215 - +