Requirements Writing for System Engineering

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Book Description:

  • Learn how to create good requirements when designing hardware and software systems. While this book emphasizes writing traditional “shall” statements, it also provides guidance on use case design and creating user stories in support of agile methodologies. The book surveys modeling techniques and various tools that support requirements collection and analysis. You’ll learn to manage requirements, including discussions of document types and digital approaches using spreadsheets, generic databases, and dedicated requirements tools. Good, clear examples are presented, many related to real-world work the author has done during his career.

    Requirements Writing for System Engineeringantages of different requirements approaches and implement them correctly as your needs evolve. Unlike most requirements books, Requirements Writing for System Engineering teaches writing both hardware and software requirements because many projects include both areas. To exemplify this approach, two example projects are developed throughout the book, one focusing on hardware and the other on software.

    This book

    • Presents many techniques for capturing requirements.
    • Demonstrates gap analysis to find missing requirements.
    • Shows how to address both software and hardware, as most projects involve both.
    • Provides extensive examples of “shall” statements, user stories, and use cases.
    • Explains how to supplement or replace traditional requirement statements with user stories and use cases that work well in agile development environments
What You Will Learn
  • Understand the 14 techniques for capturing all requirements.
  • Address software and hardware needs; because most projects involve both.
  • Ensure all statements meet the 16 attributes of a good requirement.
  • Differentiate the 19 different functional types of requirement, and the 31 non-functional types.
  • Write requirements properly based on extensive examples of good ‘shall’ statements, user stories, and use cases.
  • Employ modeling techniques to mitigate the imprecision of words.




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