1. COCOMO CO nstructive CO st Mo del II Copyright © 2007 Patrick McDermott UC Berkeley Extension pmcdermott@msn.com It’s a Name Game, Don’t Blame Boehm! (rhymes) Even if the numbers are not truly predictive, qualitative assessments are useful, and just pondering is a benefit. Made up numbers can be surprisingly good!

2. Boehm & Friends Boehm, Barry W., Chris Abts, A. Winsor Brown, Sunita Chulani, Bradford K. Clark, Ellis Horowitz, Ray Madachy, Donald J. Reifer & Bert Steece, Software Cost Estimation with COCOMO II, Upper Saddle River, New Jersey: Prentice Hall PTR (0-13-026692-2), 2000. Center for Software Engineering University of Southern California

3. Simplified Formula Multipliers  Size Factors Multipliers  Size 0.91  0.01   Factors

4. The Scale Factors

5. The Effort Multipliers

6. Examples RUSE Reusability Low : None Nominal : Across Project High : Across Program Very High : Across Product Line Extra High : Across multiple Product Lines PCON Personnel Continuity Very Low : 48% / Year Low : 24% / Year Nominal : 12% / Year High : 6% / Year Very High : 3% / Year