Open Access
Issue
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
Article Number 00015
Number of page(s) 5
DOI https://doi.org/10.1051/matecconf/201713900015
Published online 05 December 2017
  1. J. Lee, K. Lai, What’s in design rationale. Human-Computer Interaction, 6 (3) :251—280 (2011) [CrossRef] [Google Scholar]
  2. J. Lee, Design rationale systems: understanding the issues. IEEE Expert, 12 (3) :78–85 (1997) [CrossRef] [Google Scholar]
  3. W.C. Regli, X. Hu, M. Atwood, W. Sun, A survey of design rationale systems: approaches, representation, capture and retrieval, Engineering with Computers, 16 (3-4) :209–235 (2000) [Google Scholar]
  4. Y. Liu, Y. Liang, C.K. Kwong, W.B. Lee, A new design rationale representation model for rationale mining, J. Comput. Inform. Sci. Eng, 10 (3) :031009-1–031009-10 (2010) [Google Scholar]
  5. Simon H.A., The Sciences of the Artificial, (M.I.T. Press, 1969) [Google Scholar]
  6. McCall R.J., PHI: A Conceptual Foundation for Design Hypermedia, Design Studies, 12(1): 30–41 (1991) [Google Scholar]
  7. MacLean A., Young R., Belloti V., et al., Questions, Options, and Criteria: Elements of Design Space Analysis, Human-Computer Interaction, 6(3-4): 201–250 (1991) [Google Scholar]
  8. Lee J., Decision Representation Language (DRL) and Its Support Environment, Mit Artificial Intelligence Laboratory, 36 (16) :2307–2310 (1989) [Google Scholar]
  9. Maher M., Tang H., Co-Evolution as a Computational and Cognitive Model of Design, Research in Engineering Design, 14(1): 47–64 (2003) [Google Scholar]
  10. Ganeshan R., Garrett J., Finger S. A framework for representing design intent, Design Studies, 15(1): 59–84 (1994) [Google Scholar]
  11. Liu J.H., Hu X.J. Modeling the Evolving Design Rationale to Achieive a Shared Understanding,(IEEE Press, 2012) [Google Scholar]
  12. Y. Liu, Y. Liang, Learning the “Whys”: Discovering design rationale using text mining - An algorithm perspective, Computer-Aided Design, 44 (10) :916–930 (2012) [Google Scholar]

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