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Dasturiy ta’minotni ishlab chiqishda murakkablikni tashqi muhitdan ajratish deganda nimani tushunasiz



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Dasturiy ta’minotni ishlab chiqishda murakkablikni tashqi muhitdan ajratish deganda nimani tushunasiz.

Separating complexity from the external environment means that the software should be designed in such a way that it is not affected by changes in the external environment. This means that the software should be designed to be modular and flexible, so that it can be easily adapted to changes in the external environment without having to make major changes to the code. This helps to reduce the complexity of the software and makes it easier to maintain and update.
It is the process of isolating code that does a particular task from code that does another task. This is important as it makes code easier to maintain, reuse, and test. It is easier to fix bugs when you update or replace a part of your system if you have decoupled functionality. This concept may seem straightforward at first. "Just don’t have too many functions!" However, as applications grow larger and more complex, it becomes difficult to implement manually. So we use design patterns.



  1. Murakkablikni baholashning qanday usullarini bilasiz.

1. Cyclomatic Complexity: This is a measure of the number of linearly independent paths through a program's source code. It is calculated by creating a control flow graph of the code and counting the number of edges and nodes in the graph.
2. Halstead Complexity Metrics: This is a measure of the size and difficulty of a program. It is calculated by counting the number of distinct operators and operands used in the program, as well as the total number of operators and operands used.
3. Lines of Code: This is a measure of the size of a program. It is calculated by counting the number of lines of code in the program.
4. Function Point Analysis: This is a measure of the complexity of a program. It is calculated by counting the number of inputs, outputs, inquiries, files, and external interfaces used in the program.
5. McCabe's Cyclomatic Complexity: This is a measure of the complexity of a program's control flow. It is calculated by counting the number of decision points in the program.
6. Coupling and Cohesion: This is a measure of the degree to which different parts of a program are connected. It is calculated by counting the number of connections between different parts of the program.




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