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Using the Scientific Method as a Metaphor to Understand Modeling
Author(s) -
Emilio Rodríguez-Priego,
Francisco José García Izquierdo,
Ángel Rubio
Publication year - 2020
Publication title -
jucs - journal of universal computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.284
H-Index - 53
eISSN - 0948-695X
pISSN - 0948-6968
DOI - 10.3897/jucs.2020.064
Subject(s) - computer science , metamodeling , scientific modelling , analogy , metaphor , modeling language , management science , meaning (existential) , focus (optics) , data science , software engineering , epistemology , programming language , engineering , software , linguistics , philosophy , physics , optics
Although modeling is used to address complex problems, it is difficult to study modeling itself with an easy to understand model. Many authors have proposed such a model of modeling, but a consensus on the meaning of the basic modeling concepts has yet to materialize. We claim that any proposal regarding the fundamentals of modeling should address several objectives, such as to focus on the concept of model and define what it is, how a model is created and how it relates to the entities it models or to explain the relationship between model and other basic concepts such as metamodel or (modeling-)language. In this paper, we present some of the most important elements of our proposal, named Scientific Method approach to Modeling (SMM). Our proposal uses the Scientific Method as a metaphor to explain the mechanisms of modeling, since it provides well-known mechanisms constantly utilized when developing or understanding models: validation, analysis, synthesis and analogy. Inspired by these mechanisms, our proposal addresses the notion of model by including several constructors that allow us to explain better several complex modeling mechanisms extensively discussed in the literature, such as the metamodel notion.

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