1. Domain Oriented Modeling, Estimation And Improvement for Aerospace Systems Domains Dan Galorath galorath@galorath.com Copyright 2011 Galorath Incorporated

2. SEI Requirements For Estimating (Source DCG, SEI) Corporate historical database Structured processes for estimating size & reuse Mechanisms for extrapolating benchmark characteristics of past projects Audit trails Integrity dealing with dictated costs & schedules Data collection and feedback processes foster correct data interpretation

3. Domain Specific Modeling Different Sizing Methods Different Cost Drivers E.g. real time code, time constraints, etc. is a cost driver in some domains Different development approaches Not as much agile in Aerospace Safety and Security Issues in many Different “actuals” for comparison and benchmaking © 2011 Copyright Galorath Incorporated 3

4. SEER Cost IQ Based Reasoning Cost IQ uses case-based reasoning (CBR) by solving new problems based on the solutions of similar past problems.

5. Cost IQ - Obtaining Cost Directly From Limited Requirements Case Based Reasoning can transform high level requirements & specifications into a cost modeling workup within a sophisticated cost estimating tool. Cost IQ uses case-based reasoning (CBR) by solving new problems based on the solutions of similar past problems.

6. Using Key Technical Performance Parameters (KTPPs) SEER EO Sensor Example Sample inputs © 2009 Copyright Galorath Incorporated 6 KTPPs can be used for cost/performance trade-off analysis

7. What can a parametric model tell you? 7 7 What is likely to happen Feel lucky? Firm Fixed Price? Understand the risk before you commit!

8. SEER Provides Numerous Size Measures AND Allows Organization Specific © 2011 Copyright Galorath Incorporated 8

9. COTS Estimation (Existing Components) 9

10. Estimate Total Ownership Costs; 60+% Can Be Infrastructure & Services Software Development Software Maintenance IT Infrastructure IT Services © 2009 Copyright Galorath Incorporated 10

11. Every Estimate needs to be Substantiated & Benchmarked SEER-SEM Estimate Your Data Regression Trend Line Galorath Benchmark Trend Line Your History Data Why Should We Care: Variances can identify estimation issues. Benchmarking can be path to improvement 11