I am pleased to invite you to one of the major events of the CASE
17th March 2009, 16:00 - 17:00
Faculty of Computer Science, Free University of Bozen-Bolzano
Via della Mostra 4, Bozen-Bolzano
Seminar Room (third floor)
Using Measures and Risk Indicators for Early Insight Into Software
Product Characteristics such as Software Safety
Victor Basili is a Professor of Computer Science at the University of
Maryland, College Park. He holds a PH.D. in Computer Science from the
University of Texas, Austin and two honorary degrees. He was a Founding
Director of the Fraunhofer Center – Maryland and the Software
Engineering Laboratory at NASA/GSFC. He works on measuring, evaluating,
and improving the software development process and product.
Dr. Basili is a recipient of several awards including the NASA Group
Achievement Awards, ACM SIGSOFT Outstanding Research Award, IEEE
Computer Society Harlan Mills Award, and the Fraunhofer Medal. He has
authored over 250 journal and refereed conference papers, serves as
co-Editor-in-Chief of the Journal of Empirical Software Engineering. He
is an IEEE and ACM Fellow.
SPEAKER'S HOME PAGE:
For more information, please see http://www.cs.umd.edu/~basili/
Assuming there is a relationship between the processes used during
software development and the product’s characteristics, a lack of
process suggests there is a risk of achieving the proper product
characteristics. Analysis of intermediate outputs during development can
provide insight into whether appropriate processes are being performed.
The accumulation of this kind of project data allows us to build
baselines and recognize bounds and ranges for interpreting data.
Projects can take advantage of this information to make problems visible
through measurement and propose actions that can be taken to keep a
project on track for achieving these project characteristics.
Software Safety is one such product characteristic and this approach has
been applied to identifying software safety insight areas and goals and
developing early software safety measures, models and responses.
Although the actual safety of a system cannot be verified during
development, measures can reveal early insights into potential safety
problems and risks. The approach and the example software measures
presented are based on experience working with the safety engineering
group on a large Department of Defense program.
Prof. Giancarlo Succi
For further information visit the CASE Seminar Series web page at:
Etiel Petrinja, Ph.D.
Center for Applied Software Engineering
Faculty of Computer Science
Free University of Bolzano/Bozen
Mustergasse 4 / Via della Mostra 4
I-39100 Bozen/Bolzano, Italy
ph: +39(0471)016-234 - fax: +39(0471)016-009