The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking 
Research

Bajpai, Vaibhav; Brunstrom, Anna; Feldmann, Anja; Kellerer, Wolfgang; Pras, Aiko; Schulzrinne, Henning; Smaragdakis, Georgios; Wählisch, Matthias; Wehrle, Klaus

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The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

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

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arXiv:1902.02165.pdf
(プレプリント), 143KB

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引用

Bajpai, V., Brunstrom, A., Feldmann, A., Kellerer, W., Pras, A., Schulzrinne, H., Smaragdakis, G., Wählisch, M., & Wehrle, K. (2019). The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. Retrieved from http://arxiv.org/abs/1902.02165.

引用: https://hdl.handle.net/21.11116/0000-0003-F012-9

要旨

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.