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Visual data mining in software archives
2005
Proceedings of the 2005 ACM symposium on Software visualization - SoftVis '05
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In this paper we discuss how standard visualization techniques can be applied to interactively explore these rules. To this end we extended the standard visualization techniques for association rules and sequence rules to also show the hierarchical order of items. Clusters and outliers in the resulting visualizations
doi:10.1145/1056018.1056024
dblp:conf/softvis/BurchDW05
fatcat:bjmm7olbqnep3lgomvkpbz4gim