DocumentCode
3197989
Title
Software visualization with audio supported cognitive glyphs
Author
Boccuzzo, Sandro ; Gall, Harald C.
Author_Institution
Dept. of Inf., Univ. of Zurich, Zurich
fYear
2008
fDate
Sept. 28 2008-Oct. 4 2008
Firstpage
366
Lastpage
375
Abstract
There exist numerous software visualization techniques that aim to facilitate program comprehension. One of the main concerns in every such software visualization is to identify relevant aspects fast and provide information in an effective way. In previous work, we developed a cognitive visualization technique and tool called CocoViz that uses common place metaphors for an intuitive understanding of software structures and evolution. In this paper, we address software comprehension by a combination of visualization and audio. Evolution and structural aspects are annotated with different audio to represent concepts such as design erosion, code smells or evolution metrics. We use audio concepts such as loudness, sharpness, tone pitch, roughness or oscillation and map those to properties of classes and packages. As such we provide an audio annotation of software entities along their version history for software analysis and software browsing. Our first results with the prototype and a small user study show that with this combination of visual and aural means we can facilitate program comprehension and provide additional information that usually is not provided by current visualization approaches.
Keywords
software maintenance; audio supported cognitive glyphs; cognitive visualization technique; program comprehension; software analysis; software browsing; software comprehension; software evolution; software structures; software visualization; Application software; Data visualization; Documentation; History; Informatics; Navigation; Packaging; Software prototyping; Software systems; Software tools;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance, 2008. ICSM 2008. IEEE International Conference on
Conference_Location
Beijing
ISSN
1063-6773
Print_ISBN
978-1-4244-2613-3
Electronic_ISBN
1063-6773
Type
conf
DOI
10.1109/ICSM.2008.4658085
Filename
4658085
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