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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.

A Tool Set for Computational Experiments1

Susan Hert     Lutz Kettner     Tobias Polzin     Guido Schäfer

Max-Planck-Institut für Informatik
Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany

Tobias Polzin 2003-05-30