Visual Analytics in Software Maintenance: Challenges and Opportunities

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dc.contributor.authorTelea, Alexandruen_US
dc.contributor.authorErsoy, Ozanen_US
dc.contributor.authorVoinea, Lucianen_US
dc.contributor.editorJoern Kohlhammer and Daniel Keimen_US
dc.date.accessioned2014-01-27T15:28:32Z
dc.date.available2014-01-27T15:28:32Z
dc.date.issued2010en_US
dc.description.abstractVisual 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.en_US
dc.description.seriesinformationEuroVAST 2010: International Symposium on Visual Analytics Science and Technologyen_US
dc.identifier.isbn978-3-905673-74-6en_US
dc.identifier.urihttps://doi.org/10.2312/PE/EuroVAST/EuroVAST10/075-080en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVisual Analytics in Software Maintenance: Challenges and Opportunitiesen_US
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