Conceptual Modeling in the eXtreme

被引:5
|
作者
Insfrán, E [1 ]
Pelechano, V [1 ]
Pastor, O [1 ]
机构
[1] Valencia Univ Technol, Dept Informat Syst & Computat, E-46022 Valencia, Spain
关键词
conceptual modeling; object-orientation; automatic code generation; requirements engineering; software patterns;
D O I
10.1016/S0950-5849(02)00093-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conceptual Modeling-based methods and their corresponding CASE tools have traditionally had one main weak point: the use of different notations for the problem space system view (centered on the what the system is) and the solution space view (centered on the how it is to be represented). The real value of Conceptual Modeling, from a pragmatic perspective, is lost due to these different notations and the complex and often ambiguous paths required to go from one view to another. To overcome this problem, a Conceptual Schema should be a precise representation of the user requirements and should also be executable. This means that the programming tasks are really done at a higher level of abstraction, using Conceptual Modeling constructs. In this paper, we present a Conceptual Modeling in the Extreme approach for automatic software production this approach focuses the developer's efforts in the Requirements and Conceptual Modeling phases in an extreme way. This approach together with a Conceptual Model Compiler strategy produces a fully executable application. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:659 / 669
页数:11
相关论文
共 50 条
  • [1] Conceptual Modeling Framework to Integrate Resilient and Interdependent Infrastructure in Extreme Weather
    Zimmerman, Rae
    Zhu, Quanyan
    de Leon, Francisco
    Guo, Zhan
    [J]. JOURNAL OF INFRASTRUCTURE SYSTEMS, 2017, 23 (04)
  • [2] The triptych of conceptual modeling A framework for a better understanding of conceptual modeling
    Mayr, Heinrich C.
    Thalheim, Bernhard
    [J]. SOFTWARE AND SYSTEMS MODELING, 2021, 20 (01): : 7 - 24
  • [3] Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research
    Lukyanenko, Roman
    Samuel, Binny M.
    Parsons, Jeffrey
    Storey, Veda C.
    Pastor, Oscar
    Jabbari, Araz
    [J]. SOFTWARE AND SYSTEMS MODELING, 2024,
  • [4] Paradigms for Conceptual Modeling
    Roca, Ric
    Pace, Dale
    Robinson, Stewart
    Tolk, Andreas
    Yilmaz, Levent
    [J]. 48TH ANNUAL SIMULATION SYMPOSIUM (ANSS 2015), 2015, : 202 - 209
  • [5] Conceptual modeling in design
    Rosenman, M
    Simoff, SJ
    [J]. ARTIFICIAL INTELLIGENCE IN ENGINEERING, 2001, 15 (02): : 81 - 82
  • [6] CONCEPTUAL MODELING FOR SIMULATION
    Robinson, Stewart
    [J]. 2013 WINTER SIMULATION CONFERENCE (WSC), 2013, : 377 - 388
  • [7] Levels for Conceptual Modeling
    Masolo, Claudio
    [J]. ADVANCES IN CONCEPTUAL MODELING: RECENT DEVELOPMENTS AND NEW DIRECTIONS, 2011, 6999 : 173 - 182
  • [8] CONCEPTUAL MODELING WITH PROCESSES
    Tolk, Andreas
    Turnitsa, Charles
    [J]. 2012 WINTER SIMULATION CONFERENCE (WSC), 2012,
  • [9] Streamlining Conceptual Modeling
    Bense, Hermann
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, INTELLISYS 2023, 2024, 822 : 326 - 344
  • [10] Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study
    Verdonck, Michael
    Gailly, Frederik
    Pergl, Robert
    Guizzardi, Giancarlo
    Martins, Beatriz
    Pastor, Oscar
    [J]. INFORMATION SYSTEMS, 2019, 81 : 92 - 103