Using the COCOMO model and the information below, determine the estimated project duration and number of people needed to develop two application programs using Visual Basics. The 1st project is Supply Chain Management and the other is a Grading System for Waseda University. Consider the data below: Complexity Low Average High ILF 4 8 9 EIF 2 7 5 EI 4 0 5 EO 0 5 4 EQ 8 3 2 Average Source LOC per Function Point Average Source LOC per Function Point Visual Basic 29 FP Complexity Weights Weighing Factor Low Average High ILF 7 10 15 EIF 5 7 10 EI 3 4 6 EO 4 5 7 EQ 3 4 8 REFERENCE GSC Supply Chain Management and the other is a Grading System for Waseda University GENERAL SYSTEM CHARACTERISTICS DEGREE OF INFLUENCE Data Communications 3 Distributed Data Processing 2 Performance 4 Heavily Used Configuration 3 Transaction Rate 3 On-line Data Entry 4 End User Efficiency 4 Online Update 3 Complex Processing 3 Reusability 2 Installation Ease 3 Operational Ease 3 Multiple Sites 1 Facilitate Change 2 Total Degrees of Influence 40 Value Adjustment Factor VAF = (TDI * 0.01) + .65 VAF = (40 * .01) + .65 = 1.05 Total Adjusted Function Points = FP = UAF * VAF FP = 200 * 1.05 = 210
Using the COCOMO model and the information below, determine the estimated project duration and number of people needed to develop two application programs using Visual Basics. The 1st project is Supply Chain Management and the other is a Grading System for Waseda University.
Consider the data below:
- Complexity
|
Low |
Average |
High |
ILF |
4 |
8 |
9 |
EIF |
2 |
7 |
5 |
EI |
4 |
0 |
5 |
EO |
0 |
5 |
4 |
EQ |
8 |
3 |
2 |
- Average Source LOC per Function Point
|
Average Source LOC per Function Point
|
Visual Basic |
29 |
- FP Complexity Weights
|
Weighing Factor |
||
|
Low |
Average |
High |
ILF |
7 |
10 |
15 |
EIF |
5 |
7 |
10 |
EI |
3 |
4 |
6 |
EO |
4 |
5 |
7 |
EQ |
3 |
4 |
8 |
REFERENCE GSC Supply Chain Management and the other is a Grading System for Waseda University
GENERAL SYSTEM CHARACTERISTICS |
DEGREE OF INFLUENCE |
Data Communications |
3 |
Distributed Data Processing |
2 |
Performance |
4 |
Heavily Used Configuration |
3 |
Transaction Rate |
3 |
On-line Data Entry |
4 |
End User Efficiency |
4 |
Online Update |
3 |
Complex Processing |
3 |
Reusability |
2 |
Installation Ease |
3 |
Operational Ease |
3 |
Multiple Sites |
1 |
Facilitate Change |
2 |
Total Degrees of Influence |
40 |
Value Adjustment Factor VAF = (TDI * 0.01) + .65 |
VAF = (40 * .01) + .65 = 1.05 |
Total Adjusted Function Points = FP = UAF * VAF |
FP = 200 * 1.05 = 210 |
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