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Software visualization

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Software Visualization (Diehl, 2002; Knight, 2002) is concerned with the static or animated 2-D or 3-D (Marcus et al., 2003) visual representation of information about software systems based on their structure (Staples & Bieman, 1999), size (Lanza, 2004), history (Lopez et al., 2004), or behavior (Stasko et al., 1997). Typically, the information used for visualization is software_metric data from measurement activities. Visualization is inherently not a method for software quality assurance but can be used to manually discover anomalies similar to the process of visual data mining (Keim, 2002; Soukup, 2002). The objectives of software visualizations are to support the understanding of software systems (i.e., its structure) and algorithms (e.g., by animating the behavior of sorting algorithms) as well as the analysis of software systems and their anomalies (e.g., by showing classes with height coupling).

References

  • Diehl, S. (2002). Software Visualization. International Seminar. Revised Papers (LNCS Vol. 2269), Dagstuhl Castle, Germany, 20-25 May 2001 (Dagstuhl Seminar Proceedings).
  • Keim, D. A. (2002). Information visualization and visual data mining. IEEE Transactions on Visualization and Computer Graphics, USA * vol 8 (Jan. March 2002), no 1, p 1 8, 67 refs.
  • Knight, C. (2002). System and Software Visualization. In Handbook of software engineering & knowledge engineering. Vol. 2, Emerging technologies (Vol. 2): World Scientific Publishing Company.
  • Lanza, M. (2004). CodeCrawler - polymetric views in action. Proceedings. 19th International Conference on Automated Software Engineering, Linz, Austria, 20 24 Sept. 2004 * Los Alamitos, CA, USA: IEEE Comput. Soc, 2004, p 394 5.
  • Lopez, F. L., Robles, G., & Gonzalez, B. J. M. (2004). Applying social network analysis to the information in CVS repositories. "International Workshop on Mining Software Repositories (MSR 2004)" W17S Workshop 26th International Conference on Software Engineering, Edinburgh, Scotland, UK, 25 May 2004 * Stevenage, UK: IEE, 2004, p 101 5.
  • Marcus, A., Feng, L., & Maletic, J. I. (2003). 3D representations for software visualization. Paper presented at the Proceedings of the 2003 ACM symposium on Software visualization, San Diego, California.
  • Soukup, T. (2002). Visual data mining : techniques and tools for data visualization and mining. New York: Chichester.
  • Staples, M. L., & Bieman, J. M. (1999). 3-D Visualization of Software Structure. In Advances in computers (Vol. 49, pp. 96-143): Academic Press, London.
  • Stasko, J. T., Brown, M. H., & Price, B. A. (1997). Software Visualization: MIT Press.


  • SoftVis'05 is the second meeting in a planned series of biennial conferences.
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