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.
The Laboratory is located at the Department of Mathematics and Computer Science
of the University of Udine