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Business Modeling in Software Engineering: From Reality to Computational World
Software Engineering
Disclosure: I use GPT search to collection facts. The entire article is drafted by me.
The concept of “modeling” appears across numerous disciplines, including mathematics, physics, finance, and computer science, each carrying distinct meanings yet sharing a fundamental principle. At its core, modeling represents the mapping from the “real world” to a specific “disciplinary world.” Only by transforming real-world problems into scientific problems within a particular domain can we effectively solve them.
Understanding the Universal Nature of Modeling
Mathematical modeling transforms real-world scenarios into mathematical problems — the emphasis lies in the transformation rather than solving mathematical equations. Physics modeling converts reality into physical models, like the classic “block on an inclined plane with force analysis” taught in high school. Computer modeling encompasses three primary dimensions: business logic modeling (mapping all business logic to three code structures: sequence, selection, and loops), data modeling (transforming diverse real-world data into two-dimensional relational tables), and…
