- Crunching knowledge
- Ingredients of effective modelling
- Binding the model to the implementation
- Cultivating a language based on the model
- Developing a knowledge rich model
- Distilling the model
- Brainstorming and experimentation
- It is the creativity of brainstorming and massive experimentation, leveraged through a model based language and disciplined by the feedback loop through implementation, that makes it possible to find a knowledge rich model and distill it. << That was mouthful :D
- Knowledge crunching
- Effective domain modellers are knowledge crunchers
- Many models are tried and rejected or transformed
- A team of domain experts collaborate, typically led by developers
- lots and lots of talk
- Good programmers will naturally start to abstract and develop a model that can do more work
- The shallowness of knowledge produces software that does basic job but lacks a deep connection to the domain experts way of thinking
- The abstractions are true business principles
- Continuous learning
- Domains that seem less technically daunting can be deceiving, we don't realize how much we don't know !
- Knowledge rich design
- Business activities and rules are as central to a domain as are the entities involved
- Knowledge crunching yields models that reflect this kind of insight
- Deep models
- As we come to understand the domain, we usually discard superficial model elements
- Subtle abstractions emerge that pierce into the heart of the matter
- Models of utility call for sophistication both in the domain and in the modelling technique
- Knowledge crunching is an exploration and you cant know where you will end up
Thursday, 25 November 2021
Domain driven design notes - [1] Crunching knowledge
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