© 2011

New Software Engineering Paradigm Based on Complexity Science

An Introduction to NSE


  • New foundation (complexity science) for establishing software engineering paradigm; New software development methodology driven by defect prevention and traceability; New software diagramming paradigm using interactive and traceable graphics; New software testing paradigm based on the transparent-box approach which combines functional testing and structural testing together seamlessly.


Table of contents

  1. Front Matter
    Pages i-xxxv
  2. Jay Xiong
    Pages 1-59
  3. Jay Xiong
    Pages 103-113
  4. Jay Xiong
    Pages 115-134
  5. Jay Xiong
    Pages 199-236
  6. Jay Xiong
    Pages 313-338
  7. Jay Xiong
    Pages 339-369
  8. Jay Xiong
    Pages 371-385
  9. Jay Xiong
    Pages 387-407

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.


Complex Systems Complexity Nonlinear Software Engineering Software Development Methodology Software Engineering Software Engineering Paradigm Software Process Modeling Software Testing Paradigm

Authors and affiliations

  1. 1.OaklandUSA

Bibliographic information

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