New Software Engineering Paradigm Based on Complexity Science

1. Introduction
Jay Xiong

2. Is the Old-Established Software Engineering Paradigm Entirely Out of Date?
Jay Xiong

3. Foundation for Establishing NSE: Complexity Science
Jay Xiong

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

5. Outline of the NSE Paradigm
Jay Xiong

6. The Techniques Innovated to Support NSE
Jay Xiong

7. NSE Software Engineering Visualization Paradigm
Jay Xiong

8. NSE Process Model
Jay Xiong

9. The Facility for Automated and Self-Maintainable Traceability
Jay Xiong

10. NSE Software Development Methodology Driven by Defect Prevention and Traceability
Jay Xiong

11. Requirement Engineering Under NSE: Source Code Driven Dynamic Software Modeling
Jay Xiong

12. Design Engineering Under NSE
Jay Xiong

13. Coding Engineering with NSE
Jay Xiong

14. The Basis of Software Testing
Jay Xiong

15. Software Test Case Design
Jay Xiong

16. The NSE Software Testing Paradigm Based on the Transparent-Box Method
Jay Xiong

17. NSE Software Quality Assurance Paradigm Driven by Defect Prevention
Jay Xiong

18. NSE Software Maintenance Paradigm: Systematic, Disciplined, and Quantifiable
Jay Xiong

19. NSE Documentation Paradigm: Virtual, Traceable, and Consistent with the Source Code
Jay Xiong

20. NSE Project Management Paradigm: Seamlessly Combined with the Project Development Process
Jay Xiong

21. Algorithms Innovated for Establishing NSE
Jay Xiong

22. NSE Support Tools and NSE Support Platforms
Jay Xiong

23. NSE Applications
Jay Xiong

24. Candidates of “Silver Bullet”
Jay Xiong

Nyckelord: Engineering, Complexity, Algorithm Analysis and Problem Complexity, Complex Networks