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Exp Lab: a tool set for computational experiments

MPS-Authors
/persons/resource/persons44616

Hert,  Susan
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

/persons/resource/persons45206

Polzin,  Tobias
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

/persons/resource/persons44766

Kettner,  Lutz
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

/persons/resource/persons45363

Schäfer,  Guido
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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2002-1-004.pdf
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Citation

Hert, S., Polzin, T., Kettner, L., & Schäfer, G.(2002). Exp Lab: a tool set for computational experiments (MPI-I-2002-1-004). Saarbrücken: Max-Planck-Institut für Informatik.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-6C95-8
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 (\textit{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.