Internal & External Descriptons of System

In summary, internal descriptions of a system focus on its inner workings, while external descriptions focus on its interactions with the environment. It is important to have both in order to fully understand the system. Internal descriptions are developed through analysis and modeling, while external descriptions are created through observation and data collection. Both descriptions can change over time and there are tools and techniques available to aid in their development.
  • #1
salil87
26
0
Hi
I am a bit confused about the difference between Internal and External Descriptions of Systems. Didn't find any doc on web about this. A Little help needed :-).
Thanks
Salil
 
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  • #2
what sort of systems are you specifically talking about ?

D
 

1. What is the difference between internal and external descriptions of a system?

The internal description of a system refers to its inner workings and components, while the external description focuses on how the system interacts with its environment.

2. Why is it important to have both internal and external descriptions of a system?

Having both internal and external descriptions allows for a comprehensive understanding of the system, including its functionality and how it is affected by external factors.

3. How are internal and external descriptions of a system developed?

Internal descriptions are typically developed through analysis and modeling of the system's components and processes. External descriptions are often created through observation and data collection of the system's interactions with its environment.

4. Can internal and external descriptions of a system change over time?

Yes, as a system evolves and adapts to new environments or requirements, both its internal and external descriptions may change. It is important to regularly update and review these descriptions to ensure accuracy.

5. Are there any tools or techniques used to create internal and external descriptions of a system?

Yes, there are various tools and techniques such as modeling languages, data collection methods, and simulation software that can be used to develop internal and external descriptions of a system.

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