Number of Edges in Control Complexity Solution

STEP 0: Pre-Calculation Summary
Formula Used
Number of Edges = Cyclomatic Complexity+Number of Nodes-2*Number of Components
Nedges = M+Nnodes-2*N
This formula uses 4 Variables
Variables Used
Number of Edges - Number of Edges is the number of edges in the given two dimensional figure.
Cyclomatic Complexity - Cyclomatic Complexity is a software metric used to indicate the complexity of a program.
Number of Nodes - Number of Nodes is the number of nodes int he control flow graph.
Number of Components - The Number of Components is the number of chemically independent constituents of the system.
STEP 1: Convert Input(s) to Base Unit
Cyclomatic Complexity: 12 --> No Conversion Required
Number of Nodes: 2 --> No Conversion Required
Number of Components: 5 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
Nedges = M+Nnodes-2*N --> 12+2-2*5
Evaluating ... ...
Nedges = 4
STEP 3: Convert Result to Output's Unit
4 --> No Conversion Required
FINAL ANSWER
4 <-- Number of Edges
(Calculation completed in 00.004 seconds)

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4 System Design Calculators

Number of Edges in Control Complexity
Go Number of Edges = Cyclomatic Complexity+Number of Nodes-2*Number of Components
Performance Time
Go Performance Time = Computation Time embedded+(2*Transmission Time)
Resolution of DAC or ADC
Go Resolution = Maximum Voltage/(2^(Bits for Digital Encoding)-1)
Frequency of PWM
Go Frequency of PWM = 1/(ON Time+OFF Time)

Number of Edges in Control Complexity Formula

Number of Edges = Cyclomatic Complexity+Number of Nodes-2*Number of Components
Nedges = M+Nnodes-2*N

Why is cyclomatic complexity bad?

The calculated value for the cyclomatic complexity indicates how many different paths through the code there are. High cyclomatic complexity increases the risk of the presence of defects in the code due to increased difficulty in its testability, readability, and maintainability.

How to Calculate Number of Edges in Control Complexity?

Number of Edges in Control Complexity calculator uses Number of Edges = Cyclomatic Complexity+Number of Nodes-2*Number of Components to calculate the Number of Edges, The Number of Edges in Control Complexity formula is defined as a complete graph that has an edge between any two vertices. You can get an edge by picking any two vertices. Number of Edges is denoted by Nedges symbol.

How to calculate Number of Edges in Control Complexity using this online calculator? To use this online calculator for Number of Edges in Control Complexity, enter Cyclomatic Complexity (M), Number of Nodes (Nnodes) & Number of Components (N) and hit the calculate button. Here is how the Number of Edges in Control Complexity calculation can be explained with given input values -> 4 = 12+2-2*5.

FAQ

What is Number of Edges in Control Complexity?
The Number of Edges in Control Complexity formula is defined as a complete graph that has an edge between any two vertices. You can get an edge by picking any two vertices and is represented as Nedges = M+Nnodes-2*N or Number of Edges = Cyclomatic Complexity+Number of Nodes-2*Number of Components. Cyclomatic Complexity is a software metric used to indicate the complexity of a program, Number of Nodes is the number of nodes int he control flow graph & The Number of Components is the number of chemically independent constituents of the system.
How to calculate Number of Edges in Control Complexity?
The Number of Edges in Control Complexity formula is defined as a complete graph that has an edge between any two vertices. You can get an edge by picking any two vertices is calculated using Number of Edges = Cyclomatic Complexity+Number of Nodes-2*Number of Components. To calculate Number of Edges in Control Complexity, you need Cyclomatic Complexity (M), Number of Nodes (Nnodes) & Number of Components (N). With our tool, you need to enter the respective value for Cyclomatic Complexity, Number of Nodes & Number of Components and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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