## Extended Function Point (EFP) MetricsFP metric has been further extended to compute: - Feature points.
- 3D function points.
## Feature Points- Feature point is the superset of function point measure that can be applied to systems and engineering software applications.
- The feature points are used in those applications in which the algorithmic complexity is high like real-time systems where time constraints are there, embedded systems, etc.
- Feature points are computed by counting the information domain values and are weighed by only single weight.
- Feature point includes another measurement parameter-ALGORITHM.
- The table for the computation of feature point is as follows:
The feature point is thus calculated with the following formula: FP = Count-total * [0.65 + 0.01 * = Count-total * CAF where count-total is obtained from the above table. CAF = [0.65 + 0.01 * and ∑(f ._{i})6. Function point and feature point both represent systems functionality only. 7. For real-time applications that are very complex, the feature point is between 20 and 35% higher than the count determined using function point above. ## 3D function pointsThree dimensions may be used to represent 3D function points?data dimension, functional dimension, and control dimension. 2. The 3. The 4. The Now f and feature point = (32 *4 + 60 * 5 + 24 * 4 + 80 +14) * 1.07 + {12 * 15 *1.07}
- Internal data structures = 6
- External data structures = 3
- No. of user inputs = 12
- No. of user outputs = 60
- No. of user inquiries = 9
- No. of external interfaces = 3
- Transformations = 36
- Transitions = 24
Assume complexity of the above counts is high.
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