Skip to main content

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

  • Chapter
  • First Online:
Book cover New Software Engineering Paradigm Based on Complexity Science
  • 791 Accesses

Abstract

This chapter describes a prediction – a new round of industrial revolution driven by Complexity Science, and a paradigm-shift framework, the Five-Dimensional Structure Synthesis method (FDS). Many businesses fail because of an attempt to solve nonlinear problems with linear processes. With FDS, the paradigm shift for an industry can be performed efficiently – from the old-established paradigm based on linear thinking, reductionism, and superposition principle to a new paradigm based on nonlinear thinking and complexity science in compliance with the common principles of complexity science. FDS has been successfully used in the paradigm shift of the software industry and could be successfully used for other industries too.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Brooks FP Jr (1995) The mythical man-month. Addison-Wesley, Reading

    Google Scholar 

  2. Cockburn AAR (1999) Characterizing people as non-linear, first-order components in software development. HaT Technical Report 1999.03, Oct 21

    Google Scholar 

  3. Franklin B (1736) An ounce of prevention is worth a pound of cure. Philadelphia’s 1706–1790

    Google Scholar 

  4. Gharajedaghi J (2004) Systems methodology: a holistic language of interaction and design seeing through chaos and understanding complexities, http://www.acasa.upenn.edu/JGsystems.pdf

  5. Hall AD (1962) A methodology for systems engineering. Van Nostrand, Princeton

    Google Scholar 

  6. Hall AD (1969) Three-dimensional morphology of systems engineering. IEEE Trans Syst Sci Cybern SSC-5(2):156–160

    Article  Google Scholar 

  7. Jones C (2006) Social and technical reasons for software project failures. CrossTalk, June Issue

    Google Scholar 

  8. Kuhn T (1962) The structure of scientific revolutions. University of Chicago press, Chicago

    Google Scholar 

  9. Lindberg C (2005) Complexity, the science of relationships. Nursing, the profession of relationships. Plexus Institute, Allentown

    Google Scholar 

  10. McKelvey B (1999) Complexity theory in organization science: seizing the promise or becoming a fad? Emergence 1(1):5–32

    Article  Google Scholar 

  11. Warfield JN (1996) Five schools of thought about complexity. In: Proceedings of the Society for Design and Process Science: integrated design and process technology, vol 2. SDPS, Austin

    Google Scholar 

  12. Zambonelli F, Van Dyke Parunak H (2003) Signs of a revolution in computer science and software engineering. Springer, Berlin, http://www.newvectors.net/staff/parunakv/ZambonelliParunakAOSE02.pdf

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jay Xiong .

Further Reading and Information Source

Further Reading and Information Source

  1. (a) 

    Abran A, Moore JW, Bourque P, Dupuis R (eds) (2004) Guide to the software engineering body of knowledge – 2004 Version. IEEE Computer Society. p. 1–1. ISBN 0-7695-2330-7.

  2. (b) 

    Bolton D. About.com Guide, Definition of Framework. http://cplus.about.com/od/glossar1/g/frameworkdefn.htm

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Xiong, J. (2011). Prediction and Practices: A New Round of Industrial Revolution Driven by Complexity Science and a General Paradigm-Shift Framework. In: New Software Engineering Paradigm Based on Complexity Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7326-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-7326-9_4

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-7325-2

  • Online ISBN: 978-1-4419-7326-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics