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Software cost estimation based on multivariate data from completed projectsrequires the building of efficient models. These models essentially describerelations in the data, either on the basis of correlations between variables orof similarities between the projects. The continuous growth of the amount ofdata gathered and the need to perform preliminary analysis in order to discoverpatterns able to drive the building of reasonable models, leads the researcherstowards intelligent and time-saving tools which can effectively describe dataand their relationships. The goal of this paper is to suggest an innovativevisualization tool, widely used in bioinformatics, which represents relationsin data in an aesthetic and intelligent way. In order to illustrate thecapabilities of the tool, we use a well known dataset from software engineeringprojects.

Discovering patterns of correlation and similarities in software project data with the Circos visualization tool