Next: Contents
  Contents
  Index
Abstract:
We describe a set of tools that support the running, documentation,
and evaluation of computational experiments. The tool set is designed
not only to make computational experimentation easier but also to support
good scientific practice by making results reproducable and more easily
comparable to others' results by automatically documenting the experimental
environment. The tools can be used separately or in concert and support
all manner of experiments (i.e., any executable can be an experiment). The
tools capitalize on the rich functionality available in Python
to provide extreme flexibility and ease of use, but one need know nothing
of Python to use the tools.
Susan Hert Lutz Kettner Tobias Polzin Guido Schäfer
Max-Planck-Institut für Informatik
Stuhlsatzenhausweg 85,
66123 Saarbrücken, Germany
[hert|kettner|polzin|schaefer]@mpi-sb.mpg.de
Tobias Polzin
2003-05-30