SEKE 2012 Proceedings - Knowledge Systems Institute

It mimics the test engineer knowledge simpler than other
approaches heavily based on mathematical formulations.
We are developing some improvements for this work:
• a stable version of a tool that incorporates our approach
and can be connected directly with SVN and Sonar tools;
• a new version of the proposed fuzzy inference system
that will use Computational Intelligence to optimize the
previous specified membership functions and rule base as
well;
• studies to specify a metric to measure, in a formal way,
the Relevance variable. The metric will be probably based
on SQFD (Software Quality Function Deployment) [16].
VIII. ACKNOWLEDGMENTS
We would like to thank CNPq (grant 560.128/2010) and
INES, for partially supporting this work. Also, we would
like to acknowledge the Infoway company by the important
contributions to the research.
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