Abstract
This article presents the dimensional analysis conceptual modeling (DACM) framework, intended as a conceptual modeling mechanism for lifecycle systems engineering. DACM is a novel computer-aided method originally developed for military projects, but it's now available for other applications, too. The DACM framework is a powerful approach for specifying, discovering, validating, and reusing building blocks as well as analyzing system behavior in early development stages. This framework is based on dimensional analysis combined with causal graphs to represent the interactions and interdependencies among system variables. The framework's algorithms are codified into software applications to facilitate its use. This article provides a practical presentation of the steps that encompass the transformation from problem to solution space, key system variables extraction, causal ordering, clustering of variables, and qualitative analyses. The authors provide two examples that cover in detail the DACM's mathematic machinery for deriving a system's behavioral laws from a causal graph. The entire DACM approach is supported by a computer-based application that integrates all the steps of the framework presented in this article.
Original language | English |
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Article number | 7499786 |
Pages (from-to) | 42-52 |
Number of pages | 11 |
Journal | Computing in Science and Engineering |
Volume | 18 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Jul 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- conceptual modeling
- data analysis
- design support
- discrete simulation tools
- modeling and simulation
- reuse models
- scientific computing
- software engineering
- solution development
- solution modeling
- systems specification methodology