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Full Description
Systems Engineering and Architecting: Creating Formal Requirements presents formal requirements to help you accomplish key systems engineering and architecting activities more efficiently. The formal requirements—explicit, executable, verifiable instructions—explain how to model systems behavior, make decisions, establish natural language requirements, and improve your systems engineering and architecting processes.
Each chapter opens with case studies and lessons learned, which supply the real-world context for the formal requirements. Topics covered include how to use fuzzy logic and agents to model uncertainty and how to make decisions when confronted with ambiguity. The book also clarifies the differences between architecting and systems engineering.
Mathematical Tools for Systems Engineering and Architecting
Written in Mathematica®, each formal requirement provides a tool or serves as the algorithm for a more efficient implementation in another form. All of the requirements are available as an open source library for anyone to use, improve upon, or add to. Worked examples, illustrations, and example surveys help you apply the requirements to your own systems. The book also lists heuristics to guide you in those systems engineering or architecting activities that cannot yet be formally stipulated.
Bring More Consistency to Your Systems Development and Management
Acknowledging that much of the practice remains an art, this book brings as much scientific rigor as possible to the tasks performed by systems engineers and architects. Written by a director of engineering who led systems engineering or architecting efforts for the Space Shuttle Program, Space Control Architecture Development, and others, this book shows you how to develop more consistent processes for large-scale systems.
Contents
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.
