  Software cost estimation based on multivariate data from completed projects
requires the building of efficient models. These models essentially describe
relations in the data, either on the basis of correlations between variables or
of similarities between the projects. The continuous growth of the amount of
data gathered and the need to perform preliminary analysis in order to discover
patterns able to drive the building of reasonable models, leads the researchers
towards intelligent and time-saving tools which can effectively describe data
and their relationships. The goal of this paper is to suggest an innovative
visualization tool, widely used in bioinformatics, which represents relations
in data in an aesthetic and intelligent way. In order to illustrate the
capabilities of the tool, we use a well known dataset from software engineering
projects.
