Consistency preserving co-evolution of formal specifications and agent-oriented conceptual models

被引:6
|
作者
Krishna, Aneesh [2 ]
Vilkomir, Sergiy A. [1 ]
Ghose, Aditya K. [2 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Engn, Software Qual Res Lab, Knoxville, TN 37996 USA
[2] Univ Wollongong, Sch Informat Technol & Comp Sci, Decis Syst Lab, Wollongong, NSW 2522, Australia
关键词
Requirements Engineering; Z notation; i(center dot) framework; Formal specifications;
D O I
10.1016/j.infsof.2008.05.015
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Many modelling techniques tend to address "late-phase" requirements while many critical modelling decisions (such as determining the main goals of the system, how the stakeholders depend on each other, and what alternatives exist) are taken during early-phase requirements engineering. The i(center dot) modelling framework is a semiformal agent-oriented conceptual modelling language that is well-suited for answering these questions. This paper addresses key challenge faced in the practical deployment of agent-oriented conceptual modelling frameworks such as i(center dot). Our approach to addressing this problem is based on the observation that the value of conceptual modelling in the i(center dot) framework lies in its use as a notation complementary to existing requirements modelling and specification languages, i.e., the expressive power of i(center dot) complements rather than supplants that of existing notations. The use of i(center dot) in this fashion requires that we define methodologies that support the co-evolution of i(center dot) models with more traditional specifications. This research examines how this might be done with formal specification notations (specifically Z). (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:478 / 496
页数:19
相关论文
共 50 条
  • [31] Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models
    Viviana Amati
    Felix Schönenberger
    Tom A. B. Snijders
    Psychometrika, 2019, 84 : 1068 - 1096
  • [32] Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models
    Amati, Viviana
    Schoenenberger, Felix
    Snijders, Tom A. B.
    PSYCHOMETRIKA, 2019, 84 (04) : 1068 - 1096
  • [34] Modelling ecology and evolution of Foraminifera in the agent-oriented distributed platform
    Topa, Pawel
    Faber, Lukasz
    Tyszka, Jaroslaw
    Komosinski, Maciej
    JOURNAL OF COMPUTATIONAL SCIENCE, 2017, 18 : 69 - 84
  • [35] Supercomputer technologies in social sciences: Agent-oriented demographic models
    Makarov, V. L.
    Bakhtizin, A. R.
    Sushko, E. D.
    Vasenin, V. A.
    Borisov, V. A.
    Roganov, V. A.
    HERALD OF THE RUSSIAN ACADEMY OF SCIENCES, 2016, 86 (03) : 248 - 257
  • [36] Model Co-evolution and Consistency Management (MCCM'08)
    Deridder, Dirk
    Gray, Jeff
    Pierantonio, Alfonso
    Schobbens, Pierre-Yves
    MODELS IN SOFTWARE ENGINEERING, 2009, 5421 : 120 - +
  • [37] Supercomputer technologies in social sciences: Agent-oriented demographic models
    V. L. Makarov
    A. R. Bakhtizin
    E. D. Sushko
    V. A. Vasenin
    V. A. Borisov
    V. A. Roganov
    Herald of the Russian Academy of Sciences, 2016, 86 : 248 - 257
  • [38] Principles of life quality monitoring based on agent-oriented models
    V. L. Makarov
    V. V. Okrepilov
    Herald of the Russian Academy of Sciences, 2016, 86 : 322 - 328
  • [39] Principles of life quality monitoring based on agent-oriented models
    Makarov, V. L.
    Okrepilov, V. V.
    HERALD OF THE RUSSIAN ACADEMY OF SCIENCES, 2016, 86 (04) : 322 - 328
  • [40] Adapting problem specifications and design solutions using co-evolution
    Maher, ML
    de Silva Garza, AG
    ADAPTIVE COMPUTING IN DESIGN AND MANUFACTURE V, 2002, : 257 - 271