A recent CfP stated "Model-Driven Engineering is about creating, transforming, generating, interpreting, weaving models using modelling languages, tools, etc."

Made me wonder where the problem statement came from that triggers such engineering.

Does the author mean Model-Building Engineering (as in We Are Driven) instead of Model-driven?

If the author described MDE properly, then in what ways is model-based systems engineering, MBSE, distinct from this MDE?

And should we first model the problematic siituation in order to make sure that the engineering effort addresses the right problem?

I like David G. Ullman’s definition of design, “Elaboration of information punctuated by decision.” The current era of CAD helps designers once their decisions are made and it is time to record the results.

Current CAD also helps evaluate decision options, also called tradeoffs. The forthcoming era of computer-aided creativity or computer-aided invention will help designers much earlier in a project. The Three P’s are one way to think about this: possibilities, probabilities, and pursuits. Possibilities are the kinds of ideas produced by brainstorming, nominal group technique, idea writing and similar methods. Probabilities are the possibilities that survive analysis and assessment. Pursuits are the elaborations of the one to three mo ...

As societal problems have increased in extent, variety and ambiguity the current era of architecting and engineering by systematic, prescient design is proving inadequate in an increasing number of instances. Instead of laboriously describing the system to be built, we represent behaviors, usages, and benefits that are much more understandable to those who make of buy components to realize the system.

Instead of laboriously producing as cascade of specifications that represent the statics of the system to be built and strive to communicate the dynamics, we flesh out a holonic array of emulatable propositions that enable pragmatic foresight about the dynamics of the sysem to be built.

This frees us to represent the evolution of the system because the model of the system knows enough about the system to generate orchestrated morphs in several dimensions such as gradients on interrelatonships of the components, structure of the components, repertoire of componen ...