v 1 Enabling Improved Software Systems Performance through Design for Six Sigma (DFSS) 1 1.1 The Software Systems Engineering Challenge 1 1.2 Design for Six Sigma (DFSS) 1 1.3 Measures of Success and Delivered Results 2 2 Statistical Test Optimization Using Design of Experiments and Combinatorial Design Methods 4 2.1 Identification of Significant Improvement Opportunity 4 2.2 Methodology Development 4 2.3 Piloting, Measurement, and Refinement 6 2.4 Integrated Deployment, Validation, and Sustainment 7 2.5 STO Case Study 8 2.6 Sharing of Best Practices and Lessons Learned 11 3 Process Performance Modeling and Analysis 13 3.1 Identification of Significant Improvement Opportunity 13 3.2 Methodology Development 13 3.3 Piloting, Measurement, and Refinement 16 3.4 Integrated Deployment, Validation, and Sustainment 17 3.5 Sharing of Best Practices and Lessons Learned 18 4 Cost and Schedule Risk Analysis Using Monte Carlo Simulation 20 4.1 Identification of Significant Improvement Opportunity 20 4.2 Methodology Development 20 4.3 Piloting, Measurement, and Refinement 23 4.4 Integrated Deployment, Validation, and Sustainment 23 4.5 Sharing Best Practices and Lessons Learned 24 5 Summary: Enabling Integrated Project Team Performance Using Design for Six Sigma 25 5.1 Bringing It All Together in an Integrated Project Plan 25 5.2 In-process Validation of Achieved Execution Results Against Plan and Refinement 25 5.3 Cross-project Sharing of Best Practices and Lessons Learned 26 Appendix Acronym List 27 Bibliography 29
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