Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-9102
Boccuzzo, S; Gall, H C (2008). Software visualization with audio supported cognitive glyphs. In: 24th IEEE International Conference on Software Maintenance (ICSM 2008), Beijing, China, 28 September 2008 - 04 October 2008, 366-375.
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.
|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||03 Faculty of Economics > Department of Informatics|
|DDC:||000 Computer science, knowledge & systems|
|Event End Date:||04 October 2008|
|Deposited On:||23 Dec 2008 11:12|
|Last Modified:||27 Nov 2013 19:59|
|Publisher:||IEEE Computer Society|
|Additional Information:||This paper was presented at 24th IEEE International Conference on Software Maintenance (ICSM 2008), Beijing, China, September 28 - October 4, 2008. © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Citations:||Web of Science®|
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