When Systems Engineering Fails-toward Complex Systems Engineering. Bar-Yam, Y. In Systems, Man and Cybernetics, 2003. IEEE International Conference On, volume 2, pages 2021-2028 vol.2. IEEE / New England Complex Syst. Inst., Cambridge, MA, USA.
When Systems Engineering Fails-toward Complex Systems Engineering [link]Paper  doi  abstract   bibtex   
We review the lessons learned from problems with systems engineering over the past couple of decades and suggest that there are two effective strategies for overcoming them: (1) restricting the conventional systems engineering process to not-too-complex projects, and (2) adopting an evolutionary paradigm for complex systems engineering that involves rapid parallel exploration and a context designed to promote change through competition between design/implementation groups with field testing of multiple variants. The second approach is an extension of many of the increasingly popular variants of systems engineering today.
@inproceedings{bar-yamWhenSystemsEngineering2003,
  title = {When Systems Engineering Fails-toward Complex Systems Engineering},
  booktitle = {Systems, {{Man}} and {{Cybernetics}}, 2003. {{IEEE International Conference}} On},
  author = {Bar-Yam, Y.},
  date = {2003-10},
  volume = {2},
  pages = {2021-2028 vol.2},
  publisher = {{IEEE / New England Complex Syst. Inst., Cambridge, MA, USA}},
  issn = {1062-922X},
  doi = {10.1109/icsmc.2003.1244709},
  url = {https://doi.org/10.1109/ICSMC.2003.1244709},
  abstract = {We review the lessons learned from problems with systems engineering over the past couple of decades and suggest that there are two effective strategies for overcoming them: (1) restricting the conventional systems engineering process to not-too-complex projects, and (2) adopting an evolutionary paradigm for complex systems engineering that involves rapid parallel exploration and a context designed to promote change through competition between design/implementation groups with field testing of multiple variants. The second approach is an extension of many of the increasingly popular variants of systems engineering today.},
  isbn = {0-7803-7952-7},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-1286619,complexity,evolutionary-techniques,genetic-algorithms,modularization,software-engineering,system-engineering},
  series = {Systems, {{Man}} and {{Cybernetics}}, 2003. {{IEEE International Conference}} On}
}
Downloads: 0