# Extended Function Point (EFP) Metrics

Function Point (FP) measure was inadequate for many engineering and embedded systems. To overcome this, A number of extensions to the basic function point measure have been proposed. These are as follows:

Feature Points:

• Feature Points are computed by counting the information domain values.
• It can be used in those areas where there is a level of complexity, is comparatively very high.
• Function point (FP) measure is the subset for the Feature point.
• But both the Function point and feature point represents the functionality of the systems

Table for feature point calculation:

Sr. No. Measurement Parameter Count ** Weighting factor
1 Number of external inputs(EI) * 4
2 Number of external outputs(EO) * 5
3 Number of external Inquiries(EQ) * 4
4 Number of internal files (ILF) * 7
5 Number of external interfaces(EIF) * 7
6 Algorithms used Count total * 3

3D function points:

• Data, Functional, and control are three dimensions represented by 3D function points.
1. Data: User interfaces and data as in the original method.
2. Control: Real-time behavior(s)
3. Function: Internal processing
• Data dimension calculation is the same as the FPs. Feature-Transformation is done in the functional dimension. While in the control dimension, feature-Transition is added.
• The 3D Function Point method was proposed by Boeing.
• It is designed to solve two problems with the Albrecht approach.

Example:
Compute the FP, feature point and 3D-function point value for an embedded system with the following characteristics:

```1. Internal data structures = 8
2. No. of user inputs = 32
3. No. of user outputs = 60
4. No. of user inquiries = 24
5. No. of external interfaces = 2
6. No. of transformation = 23
7. No. of transition = 32 ```

Assume complexity of the above counts is average case = 3.

Explanation:

Step-1: We draw the Table first for computing FPs.

Sr. No. Measurement Parameter Count ** Simple Weighting factor Average Weighting factor Complex Weighting factor Calculated Value
1 Number of external inputs(EI) 32 * 3 4 6 128
2 Number of external outputs(EO) 60 * 4 5 7 300
3 Number of external Inquiries(EQ) 24 * 3 4 6 96
4 Number of internal files (ILF) 8 * 7 10 15 80
5 Number of external interfaces(EIF) 2 * 5 7 10 14
6 Number of Transformation 23 * 23
7 Number of Transition 32 * 32
Count – Total —–> 673

Step-2: Find the sum of all fi (1 to 14)

`Σ(&fi) = 14 * 3 = 42 `

Step-3: Calculate the functional point:

```FP = Count-total * [0.65 + 0.01 *Σ(&fi) ]
= 618 * [0.65 + 0.01 * 42]
= 618 * [0.65 + 0.42]
= 618 * 1.07
= 661.26 ```

Step-4: Calculate the Feature point:

```= (32 *4 + 60 * 5 + 24 * 4 + 80 +14) * 1.07 + {12 * 15 *1.07}
= 853.86 ```

Step-5: Calculate the 3D function point, it is calculated by counting the total calculated values. So, for 3D function points, the required index is 673.

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