Visual Analytics in Software Maintenance: Challenges and Opportunities

dc.contributor.author	Telea, Alexandru	en_US
dc.contributor.author	Ersoy, Ozan	en_US
dc.contributor.author	Voinea, Lucian	en_US
dc.contributor.editor	Joern Kohlhammer and Daniel Keim	en_US
dc.date.accessioned	2014-01-27T15:28:32Z
dc.date.available	2014-01-27T15:28:32Z
dc.date.issued	2010	en_US
dc.identifier.isbn	978-3-905673-74-6	en_US
dc.identifier.uri	http://dx.doi.org/10.2312/PE/EuroVAST/EuroVAST10/075-080	en_US
dc.description.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.	en_US
dc.publisher	The Eurographics Association	en_US
dc.title	Visual Analytics in Software Maintenance: Challenges and Opportunities	en_US
dc.description.seriesinformation	EuroVAST 2010: International Symposium on Visual Analytics Science and Technology	en_US