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    Visual Analytics in Software Maintenance: Challenges and Opportunities

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    075-080.pdf (903.7Kb)
    Date
    2010
    Author
    Telea, Alexandru
    Ersoy, Ozan
    Voinea, Lucian
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    Abstract
    Visual analytics (VA) is an emerging science at the crossroads of data and information visualization, graphics, data mining, and knowledge representation, with many successful applications in engineering, business and finance, security, geosciences, and e-governance and health. Tools using visualization, data mining, and data analysis are also prominently present in a different field: software maintenance. However, an integrated VA is relatively new for this field. In this paper, we discuss the specific challenges and particularities of applying VA in software engineering, highlight the added value of a VA approach, as distilled by us from several large-scale software engineering industrial projects.
    BibTeX
    @inproceedings {PE:EuroVAST:EuroVAST10:075-080,
    booktitle = {EuroVAST 2010: International Symposium on Visual Analytics Science and Technology},
    editor = {Joern Kohlhammer and Daniel Keim},
    title = {{Visual Analytics in Software Maintenance: Challenges and Opportunities}},
    author = {Telea, Alexandru and Ersoy, Ozan and Voinea, Lucian},
    year = {2010},
    publisher = {The Eurographics Association},
    ISBN = {978-3-905673-74-6},
    DOI = {10.2312/PE/EuroVAST/EuroVAST10/075-080}
    }
    URI
    http://dx.doi.org/10.2312/PE/EuroVAST/EuroVAST10/075-080
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    System hosted at  Graz University of Technology.
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