Estimate the Project

EST #4 Junior Edda

Description

Two-level estimation workflow for AI-assisted software development. Level 1 produces T-shirt-sized SWAG from BDD scenarios. Level 2 (Function Point decomposition) runs BPE-01 in estimation mode on each work package to produce a bottom-up artifact list with PERT triplets. Monte Carlo simulation produces P50/P80/P95 delivery forecasts. Sprint close loop rebaselines token estimates and calibrates $/FP rate after each iteration.

Activities Flow (8)
cluster_elaboration Elaboration activity_66 EST1 Assess Estimation Readiness activity_67 EST2 Calibrate Reference Stories activity_66->activity_67 activity_68 EST3 Size Scenarios (Level 1 SWAG) activity_67->activity_68 activity_69 EST4 Assess Risk Multipliers activity_68->activity_69 activity_70 EST5 Produce Rough Estimates + AFP activity_69->activity_70 activity_71 EST6 Decompose Work Packages (Level 2) activity_70->activity_71 activity_72 EST7 Run Monte Carlo Simulation activity_71->activity_72 activity_73 EST8 Sprint Close & Rebaseline activity_72->activity_73