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Notations for Software Engineering Class Structures

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Diagrammatic Representation and Inference (Diagrams 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2980))

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Abstract

This builds on previous work in which we have developed diagramming principles based on theories of structural object perception. We call these geon diagrams. We have previously shown that such diagrams are easy to remember and to analyze. To evaluate our hypothesis that geon diagrams should also be easy to understand we carried out an empirical study to evaluate the learnability of geon diagram semantics in comparison with the well-established UML convention. The results support our theory of learnability. Both ”novices” and ”experts” found the geon diagram syntax easier to apply in a diagram-to-textual description matching task than the equivalent UML syntax.

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References

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada

    Pourang Irani

Authors
  1. Pourang Irani
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Editor information

Editors and Affiliations

  1. Computer Laboratory, University of Cambridge, CB3 0FD, Cambridge, UK

    Alan F. Blackwell

  2. Clayton School of IT Monash University, 3800, Australia

    Kim Marriott

  3. Faculty of Culture and Information Science, Doshisha University, Japan

    Atsushi Shimojima

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© 2004 Springer-Verlag Berlin Heidelberg

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Irani, P. (2004). Notations for Software Engineering Class Structures. In: Blackwell, A.F., Marriott, K., Shimojima, A. (eds) Diagrammatic Representation and Inference. Diagrams 2004. Lecture Notes in Computer Science(), vol 2980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25931-2_60

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  • DOI: https://doi.org/10.1007/978-3-540-25931-2_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21268-3

  • Online ISBN: 978-3-540-25931-2

  • eBook Packages: Springer Book Archive

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