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The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

MPS-Authors
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Feldmann,  Anja
Internet Architecture, MPI for Informatics, Max Planck Society;

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Fulltext (public)

arXiv:1902.02165.pdf
(Preprint), 143KB

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Citation

Bajpai, V., Brunstrom, A., Feldmann, A., Kellerer, W., Pras, A., Schulzrinne, H., et al. (2019). The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. Retrieved from http://arxiv.org/abs/1902.02165.


Cite as: http://hdl.handle.net/21.11116/0000-0003-F012-9
Abstract
Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.