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Taming the Complexity

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Robert Pergl

on 20 August 2014

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Transcript of Taming the Complexity

Complex functions, processes and rules
Complexity of the World
Human limitations
to deal with complex problems:
Understanding (cognition)
Diligence and discipline
CHANGE and EVOLUTION of the problem
Conceptual Modelling
= A structured, engineering way how to deal with the inherent complexity
Achieved by using models, methods how to create and use them
Complex data: terms and their relations
Data types
Generalisation - Specialisation
Attribute of
Part - Whole
Taming the Complexity
Behavioural Models
Process models
Transactions models
State models
Structural Models
Data models
Operating on Models
Formalisation = giving some structure
Models give precise, validated, optimised, and communicated specification.
=> Generating software from models (by hand or even automated) brings
higher quality products that meet the requirements
cheaper to develop
flexible for changes
Capturing the knowledge
Sharing the knowledge
communication of models
Using the knowledge
reasoning and inference
data and process mining
Information systems
Workflow systems
Knowledge systems
Full transcript