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Visualization vs. Specification in Diagrammatic Notations: A Case Study with the UML

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Diagrammatic Representation and Inference (Diagrams 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2317))

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Abstract

In the world of diagrammatic notations, the Unified Modeling Language (UML) should be of special interest for cognitive studies. On one hand, UML integrates a host of different diagrammatic languages in real engineering use, and thus studying it should be itself extremely interesting. On the other hand, UML is adopted as a standard in software industry, and has already become a standard de facto in object-oriented analysis and design. This property provides a real practical value for UML studies. However, despite its dramatically increasing popularity, UML’s drawbacks are well known and widely criticized. Currently, users and vendors associate their hopes on a better UML with the next version of the standard, UML 2.0, but it is commonly recognized that the problems standing in front of UML 2.0 are extremely hard [3]. So, careful cognitive analysis of UML appears to be an interesting, beneficial and urgent issue in the diagrammatic world.

Supported by Grants 93.315 and 96.0316 from the Latvia Council of Science

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References

  1. Z. Diskin. Visualization vs. specification in diagrammatic notations: A case study with the UML. Full version of the material in the present poster, ftp://ftp.fis.lv/pub/diskin/Diagrams02.ps, 2001

  2. Z. Diskin, B. Kadish, F. Piessens, and M. Johnson. Universal arrow foundations for visual modeling. In M. Anderson et al, Diagrams’2000: 1st Int. Conf. on the Theory and Applications of Diagrams, Springer LNAI, volume 1889, 2000, pp.345–360.

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  3. C. Kobryn. Will UML 2.0 be agile or awkward? Communications of the ACM, 45(1):107–110, 2002.

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© 2002 Springer-Verlag Berlin Heidelberg

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Diskin, Z. (2002). Visualization vs. Specification in Diagrammatic Notations: A Case Study with the UML. In: Hegarty, M., Meyer, B., Narayanan, N.H. (eds) Diagrammatic Representation and Inference. Diagrams 2002. Lecture Notes in Computer Science(), vol 2317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46037-3_15

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  • DOI: https://doi.org/10.1007/3-540-46037-3_15

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  • Print ISBN: 978-3-540-43561-7

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