Laurence Bellagamba was director of engineering for Rockwell International, Northrop Grumman, and TASC. He has led systems engineering or architecting efforts for the Space Shuttle Program, Shuttle-C, Global Positioning System, Anti-satellite System, Ground Based Missile Defense, Airborne Laser, Space Based Laser, and Space Control Architecture Development. He was awarded the NASA Certificate of Appreciation. He received BSAE, MS, and PhD degrees from the School of Aeronautics and Astronautics at Purdue University.

• Motivation, Objective, Definitions and Approach: Motivations and Objective. Definitions. Approach. Summary. Appendix: Mathematica in Brief. Model Systems and Architecture Behavior: Model Systems and Architectures Using Diagrams. Model Systems and Architecture Using Mathematics. Mathematically Model Uncertainty. Monitoring System or Architecture Technical Performance Measures. Modeling Heuristics. Make Decisions: Make Good Decisions. Make Good Decisions by Specific Means. Decision Heuristics. Appendix: Results of Testing Mathematica’s Parameter Optimization Routines. Appendix: Data for Fuzzy Logic Controller for Rocket. Establish Natural Language Requirements: Define Three Types of Natural Language Requirements: Functional, Performance, and Sought. Write Good Natural Language Requirements. Reduce Ambiguities in the Natural Language Requirement Statement. Determine the Natural Language Requirements. Maintain a Natural Language Requirement Database. Verify Requirements are Complied With. Measure Requirements Volatility. Requirements Heuristics. Improve an Organization’s Ability to Do Systems Engineering and Architecting: Measure Systems Engineering or Architecting Progress. Improve Processes Used. Improve Process Product Quality. Improve Efficiency. Use Surveys to Determine What Is Most Urgent to Improve at Any Point in a Program. Appendix: System Engineering Effectiveness Survey. Appendix: Architecting Effectiveness Survey.

Laurence Bellagamba was director of engineering for Rockwell International, Northrop Grumman, and TASC. He has led systems engineering or architecting efforts for the Space Shuttle Program, Shuttle-C, Global Positioning System, Anti-satellite System, Ground Based Missile Defense, Airborne Laser, Space Based Laser, and Space Control Architecture Development. He was awarded the NASA Certificate of Appreciation. He received BSAE, MS, and PhD degrees from the School of Aeronautics and Astronautics at Purdue University.

• Motivation, Objective, Definitions and Approach: Motivations and Objective. Definitions. Approach. Summary. Appendix: Mathematica in Brief. Model Systems and Architecture Behavior: Model Systems and Architectures Using Diagrams. Model Systems and Architecture Using Mathematics. Mathematically Model Uncertainty. Monitoring System or Architecture Technical Performance Measures. Modeling Heuristics. Make Decisions: Make Good Decisions. Make Good Decisions by Specific Means. Decision Heuristics. Appendix: Results of Testing Mathematica’s Parameter Optimization Routines. Appendix: Data for Fuzzy Logic Controller for Rocket. Establish Natural Language Requirements: Define Three Types of Natural Language Requirements: Functional, Performance, and Sought. Write Good Natural Language Requirements. Reduce Ambiguities in the Natural Language Requirement Statement. Determine the Natural Language Requirements. Maintain a Natural Language Requirement Database. Verify Requirements are Complied With. Measure Requirements Volatility. Requirements Heuristics. Improve an Organization’s Ability to Do Systems Engineering and Architecting: Measure Systems Engineering or Architecting Progress. Improve Processes Used. Improve Process Product Quality. Improve Efficiency. Use Surveys to Determine What Is Most Urgent to Improve at Any Point in a Program. Appendix: System Engineering Effectiveness Survey. Appendix: Architecting Effectiveness Survey.

Laurence Bellagamba was director of engineering for Rockwell International, Northrop Grumman, and TASC. He has led systems engineering or architecting efforts for the Space Shuttle Program, Shuttle-C, Global Positioning System, Anti-satellite System, Ground Based Missile Defense, Airborne Laser, Space Based Laser, and Space Control Architecture Development. He was awarded the NASA Certificate of Appreciation. He received BSAE, MS, and PhD degrees from the School of Aeronautics and Astronautics at Purdue University.

• Motivation, Objective, Definitions and Approach: Motivations and Objective. Definitions. Approach. Summary. Appendix: Mathematica in Brief. Model Systems and Architecture Behavior: Model Systems and Architectures Using Diagrams. Model Systems and Architecture Using Mathematics. Mathematically Model Uncertainty. Monitoring System or Architecture Technical Performance Measures. Modeling Heuristics. Make Decisions: Make Good Decisions. Make Good Decisions by Specific Means. Decision Heuristics. Appendix: Results of Testing Mathematica’s Parameter Optimization Routines. Appendix: Data for Fuzzy Logic Controller for Rocket. Establish Natural Language Requirements: Define Three Types of Natural Language Requirements: Functional, Performance, and Sought. Write Good Natural Language Requirements. Reduce Ambiguities in the Natural Language Requirement Statement. Determine the Natural Language Requirements. Maintain a Natural Language Requirement Database. Verify Requirements are Complied With. Measure Requirements Volatility. Requirements Heuristics. Improve an Organization’s Ability to Do Systems Engineering and Architecting: Measure Systems Engineering or Architecting Progress. Improve Processes Used. Improve Process Product Quality. Improve Efficiency. Use Surveys to Determine What Is Most Urgent to Improve at Any Point in a Program. Appendix: System Engineering Effectiveness Survey. Appendix: Architecting Effectiveness Survey.