Panelists:
Christiane Gresse von Wangenheim (Universidade Federal de Santa Catarina Florianapolis, Brazil)
Cung-Horng Lung (Software Engineering Analysis Lab Nortel, Canada)
Reidar Conradi (Norwegian University of Science&Technology, Norway)
Marv Zelkowitz (University of Maryland, USA)
Synopsis: The Empirical Software Enginering, which considers software
development from both the engineering and experimental points of view,
allows software organizations to base their decisions on quanti-
tative grounds. In this context, a fundamental role is played by
empirical studies, carried out as a part of an incremental learn-
ing process. Empirical studies can be performed both during pro-
ject execution and after project completion as post-mortem data
analysis. Knowledge obtained by means of empirical studies is
used in several ways during development, to characterize a pro-
ject and its context, set attainable goals, carry out sensible
planning, support project execution, etc. The final objective is
to package discovered knowledge in form of updated and refined
models and other forms of structured knowledge gained from prior
projects and save it in repository for future projects. An organ-
izational unit will take care of all the activities required to
augment existing knowledge and make it available to new projects
on demand. The panel will be devoted to the interaction between
knowledge management and experimental software engineering. More
specifically, the main objectives are: