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Visualization and evolution of software architectures

 
: Khan, T.; Barthel, H.; Ebert, A.; Liggesmeyer, P.

:

Garth, C.; Middel, A.; Hagen, H. ; Deutsche Forschungsgemeinschaft -DFG-, International Research and Training Group 1131 "Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering":
Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering. Online Resource : Proceedings of IRTG 1131 Workshop 2011
Wadern: Schloss Dagstuhl, Leibniz-Zentrum für Informatik, 2012 (OASIcs - OpenAccess Series in Informatics 27)
http://www.dagstuhl.de/dagpub/978-3-939897-46-0
ISBN: 978-3-939897-46-0
S.25-42
Workshop on Visualization of Large and Unstructured Data Sets (VLUDS) <2011, Kaiserslautern>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()

Abstract
Software systems are an integral component of our everyday life as we find them in tools and embedded in equipment all around us. In order to ensure smooth, predictable, and accurate operation of these systems, it is crucial to produce and maintain systems that are highly reliable. A well-designed and well-maintained architecture goes a long way in achieving this goal. However, due to the intangible and often complex nature of software architecture, this task can be quite complicated. The field of software architecture visualization aims to ease this task by providing tools and techniques to examine the hierarchy, relationship, evolution, and quality of architecture components. In this paper, we present a discourse on the state of the art of software architecture visualization techniques. Further, we highlight the importance of developing solutions tailored to meet the needs and requirements of the stakeholders involved in the analysis process.

: http://publica.fraunhofer.de/dokumente/N-263959.html