Our research group is interested in various
topics
-
theoretical aspects of software metrics
-
practical metric supporting software testing and
validation
-
applications of Information Systems, especially in the
field of Data Warehouse.
We studied the main proposals for
software metrics and compared them in large experimental environments.
Various models of new predictive
metrics have been proposed, based on structural aspects of software and their
relations to statistics of notified faults on software modules. They produce a
risk-hierarchy of structural parameters and, using a statistical models, build
a frame to identify fault-prone software models. We studied the use of this
predictive metrics in the testing and validation phase, due to their capability
to identify dangerous constructs of programs on fault-prone modules. The
methodology introduced will be able to concentrate the efforts of testing and
validation on the more dangerous segments of code or modules.
We are also studying
methodologies of Reuse Engineering and their impact in software factories and
industrial projects. At last we are analyzing the use of Information Retrieval
tools for Maintenance and Reuse of Software Packages.
Regarding Information systems, we
studied the effects of data-quality on Data warehouse applications, especially
the reliability of related
decision-making process.