New Software Engineering Paradigm Based on Complexity Science

An Introduction to NSE

Authors: Xiong, Jay

  • Proposes complexity science as a new foundation for establishing software engineering paradigm Offers a new software development methodology driven by defect prevention and traceability Demonstrates a new software diagramming paradigm using interactive and traceable graphics Examines testing using the transparent-box approach, which seamlessly combines functional testing and structural testing>

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About this book

Title: New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE Author: Jay Xiong Software has become the driving force for the development of all kinds of businesses, engineering, sciences and the global economy. But software itself is not well engineered, resulting in a total economic cost that is disturbingly high. Jay Xiong, a leading entrepreneur in the field of software engineering, realized many of the problems in software engineering stem from an incorrect paradigm. Software is a nonlinear complex system, but the existing software engineering paradigm is based on linear thinking, reductionism, and a superposition principle that the whole of a system is the sum of its parts. Xiong believes that the solution to software problems lies with complexity science, which is the science of studying complex systems with many interactive components. In New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE, Xiong details how complexity science can be a powerful means to solve all critical issues existing in today’s software engineering through a two-step process. Step one discusses shifting the engineering paradigm to one based on nonlinear process and complexity science. For that, he posits the Nonlinear Software Engineering (NSE) paradigm. And step two applies complexity science to efficiently handle the problems of an individual complex system. This text introduces many new concepts, ideas, algorithms, models, methods, techniques and tools. It is aimed at anyone who has any relation to computer science and software engineering.

The tools NSE_CLICK- an automatic acceptance testing platform for outsourcing (or internally developed) C/C++ products, and NSE_CLICK_J - an automatic acceptance testing platform for outsourcing (or internally developed) Java products  are particularly designed for non-technical readers to view/review how the acceptance testing of a software product developed with NSE can be performed automatically, and how the product  developed with NSE is truly maintainable at the customer site.

Table of contents (24 chapters)

  • Introduction

    Xiong, Jay

    Pages 1-59

  • Is the Old-Established Software Engineering Paradigm Entirely Out of Date?

    Xiong, Jay

    Pages 61-77

  • Foundation for Establishing NSE: Complexity Science

    Xiong, Jay

    Pages 79-90

  • Prediction and Practices: A New Round of Industrial Revolution Driven by Complexity Science and a General Paradigm-Shift Framework

    Xiong, Jay

    Pages 91-102

  • Outline of the NSE Paradigm

    Xiong, Jay

    Pages 103-113

Buy this book

eBook $159.00
price for USA
  • ISBN 978-1-4419-7326-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-4419-7325-2
  • with online files
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-4899-8159-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
New Software Engineering Paradigm Based on Complexity Science
Book Subtitle
An Introduction to NSE
Authors
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-7326-9
DOI
10.1007/978-1-4419-7326-9
Hardcover ISBN
978-1-4419-7325-2
Softcover ISBN
978-1-4899-8159-2
Edition Number
1
Number of Pages
XXXV, 746
Topics