Software Project Plan

Software Project Plan - 1. Historical data used for...

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1. Historical data used for estimates We use the following statistics from previous group projects to create our estimates 10 FP’s/hr. 30 LOC/hr. 2. Estimation techniques applied and results a. Function Point Estimate Average FP estimate Fact or Cou nt Weig ht Tot al EI 2 x 6 12 EO 1 x 4 4 EQ 2 x 6 12 ILF 1 x 7 7 EIF 2 x 7 14 TOT AL 49 Pessimistic FP estimate Fact or Cou nt Weig ht Tot al EI 2 x 6 12 EO 1 x 4 4 EQ 5 x 6 30
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ILF 3 x 7 21 EIF 2 x 7 14 TOT AL 81 Optimistic FP estimate Fact or Cou nt Weig ht Tot al EI 2 x 6 12 EO 1 x 4 4 EQ 1 x 6 6 ILF 1 x 7 7 EIF 2 x 7 14 TOT AL 43 Data Communication: 5 Distributed Functions: 4 Heavily Used Configuration: 2 Transaction Rate: 2 On-line Data Entry: 1 End User Efficiency: 4 On-line Update: 0 Complex Processing: 3 Installation Ease: 2 Operational Ease: 1 Multiple Sites: 5 Facilitate Change: 4
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Total: 33 FP = count total x [.65 + .01( F Σ i )] Average estimate: FP = 49 x [.65 + .01(33)] FP = 49 x [.98] FP = 48.02 Pessimistic estimate: FP = 81 x [.65 + .01(33)] FP = 81 x [.98] FP = 79.38 Optimistic estimate: FP = 43 x [.65 + .01(33)] FP = 43 x [.98] FP = 42.14 b. Function Point Estimation FP = (Optimistic estimate + 4(Average Estimate) + Pessimistic estimate)/6
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Software Project Plan - 1. Historical data used for...

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