Dependence Cluster Visualization

Book chapter


Islam, S., Krinke, Jens and Binkley, David 2010. Dependence Cluster Visualization. in: Proceedings of the 5th international symposium on Software visualization New York, NY, USA ACM. pp. 93-102
AuthorsIslam, S., Krinke, Jens and Binkley, David
Abstract

Large clusters of mutual dependence have long been regarded as
a problem impeding comprehension, testing, maintenance, and reverse
engineering. An effective visualization can aid an engineer
in addressing the presence of large clusters. Such a visualization is
presented. It allows a program’s dependence clusters to be considered
from an abstract high level down thru a concrete source-level.
At the highest level of abstraction, the visualization uses a heat-map
(a color scheme) to efficiently overview the clusters found in an entire
system. Other levels include three source code views that allow
a user to “zoom” in on the clusters starting from the high-level system
view, down through a file view, and then onto the actual source
code where each cluster can be studied in detail.
Also presented are two case studies, the first is the open-source
calculator bc and the second is the industrial program copia, which
performs signal processing. The studies consider qualitative evaluations
of the visualization. From the results, it is seen that the visualization
reveals high-level structure of programs and interactions
between its components. The results also show that the visualization
highlights potential candidates (functions/files) for re-factoring
in bc and finds dependence pollution in copia.

KeywordsDependence; program comprehension; program slicing; clustering; visualization; reverse engineering; re-engineering
Book titleProceedings of the 5th international symposium on Software visualization
Page range93-102
Year2010
PublisherACM
Publication dates
Print2010
Publication process dates
Deposited06 Mar 2017
Place of publicationNew York, NY, USA
Event5th international symposium on Software visualization
ISBN978-1-4503-0028-5
Digital Object Identifier (DOI)doi:10.1145/1879211.1879227
Web address (URL)http://dl.acm.org/citation.cfm?doid=1879211.1879227
Additional information

© 2010 ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 5th international symposium on Software visualization. http://dl.acm.org/citation.cfm?id=1879227

Accepted author manuscript
License
CC BY-NC
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