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A Technique for Generating Graphical Abstractions of Program Data Structures

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Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

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Abstract

Representing abstract data structures in a real programming language is a key step of algorithm implementation and often requires programmers to introduce language-dependent details irrelevant for both a high-level analysis of the code and algorithm comprehension. In this paper we present a logic-based technique for recovering from the loss of abstraction related to the implementation process in order to create intuitive high-level pictorial representations of data structures, useful for program debugging, research and educational purposes.

This author was partially supported by EU ESPRIT Long Term Research Project ALCOM-IT under contract no. 20244.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Università di Roma “La Sapienza”, Via Salaria 113, 00198, Roma, Italy

    Camil Demetrescu

  2. Dipartimento di Scienze dell’Informazione, Università di Roma “La Sapienza”, Via Salaria 113, 00198, Roma, Italy

    Irene Finocchi

Authors
  1. Camil Demetrescu
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  2. Irene Finocchi
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Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 1999 Springer-Verlag Berlin Heidelberg

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Demetrescu, C., Finocchi, I. (1999). A Technique for Generating Graphical Abstractions of Program Data Structures. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_97

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  • DOI: https://doi.org/10.1007/3-540-48762-X_97

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

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