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4 Model Driven Systems Development with Rational Products
Creative/dynamic complexity can be managed with a governance process.
(The governance process must be enabling and not confining.)
Governance more and more becomes a matter of managing risk in an innovative
world; of balancing innovation and risk.
Overview of model-driven systems development
Model-driven systems development is the progressive, iterative refinement of a
set of models to drive development of your system.
The benefits of modeling
Why do we model? We model to manage complexity, to simplify and abstract
essential aspects of a system. We model so that we can test inexpensively
before we build, so that we can erase with a pencil before we have to demolish
with a sledgehammer.
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The models are the architecture—they provide us with multiple views of the
system and promote our understanding.
Model-driven systems development leverages the power of modeling to address
a set of problems that have plagued systems development. We discuss some of
these problems in the sections that follow. MDSD uses a set of transformations to
iteratively refine our models and our understanding of the system to be built.
Central problems MDSD addresses
MDSD addresses a core set of system development problems:
Overwhelming complexity: Managing complexity by managing levels of
abstraction and levels of detail
Not considering appropriate viewpoints: Multiple views to address multiple
concerns
System does not meet functional, performance and other system concerns:
Integration of form and function
Lack of scalability: Isomorphic composite recursive structures and method to
address scalability
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This is an adaptation of a quote from Frank Lloyd Wright: An architect's most useful tools are an
eraser at the drafting board, and a wrecking bar at the site