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Visualisation for informed decision making; from code to components
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Source SEKE; Vol. 27 archive
Proceedings of the 14th international conference on Software engineering and knowledge engineering table of contents
Ischia, Italy
SESSION: Workshop on software engineering decision support: components table of contents
Pages: 765 - 772  
Year of Publication: 2002
ISBN:1-58113-556-4
Authors
Stuart M. Charters  University of Durham, South Road, Durham, England
Claire Knight  University of Durham, South Road, Durham, England
Nigel Thomas  University of Durham, South Road, Durham, England
Malcolm Munro  University of Durham, South Road, Durham, England
Publisher
ACM  New York, NY, USA
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ABSTRACT

The problem of trying to view and comprehend large amounts of data is a well-known one. A specialised variant of this problem is the visualisation of software code and components for the purposes of understanding, decision-making, reuse and even integration. In particular the visualisation of software components, at a much higher level than source code, has received very little research. Visualisation is a powerful tool in situations such as this. This paper presents the application of real world metaphor based visualisations that address this problem. The application of visualisation to selecting software components is especially novel. It seeks to decrease the effort required by system integrators when locating suitable components in what is an increasingly crowded marketplace. Accurate information and understanding are vital if correct and informed decisions and judgements are to be made.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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S. Pettifer and A. West, "Deva: A coherent operating environment for large scale VR applications", Presented at the first Virtual Reality Universe conference in Santa Clara, California, April 1997.
 
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C. Knight, "Virtual Software in Reality", PhD Thesis, Department of Computer Science, University of Durham, June 2000.
 
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C. Knight and M. Munro, "Visual Information; Amplifying and Foraging", Visual Data Exploration and Analysis VIII, in Proceedings of SPIE, San Jose, USA, January 2001
 
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J. Burrus, R Waters, and D. Anderson, "Locales and Beacons: Efficient and Precise Support for Large Multi-User Environments", Mitsubishi Electric Information Technology Centre Technical Report TR-95-16a, August 1996.
 
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K. Lynch, The Image of the City, The M.I.T. Press & Harvard University Press, Cambridge Massachusetts 1960.
 
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P. Young, Visualising Software in Cyberspace, PhD Thesis, Department of Computer Science, University of Durham, Octiber 1999.

Collaborative Colleagues:
Stuart M. Charters: colleagues
Claire Knight: colleagues
Nigel Thomas: colleagues
Malcolm Munro: colleagues