Dependence cluster visualization
Year: 2010
Type: conference-paper
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.
Authors: Syed S. Islam, Jens Krinke, David Binkley
Institutions: King's College London, Loyola University Maryland
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2134844793