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The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research
January 12, 2019 Β· Declared Dead Β· π CCRV
"No code URL or promise found in abstract"
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Authors
Vaibhav Bajpai, Anna Brunstrom, Anja Feldmann, Wolfgang Kellerer, Aiko Pras, Henning Schulzrinne, Georgios Smaragdakis, Matthias WΓ€hlisch, Klaus Wehrle
arXiv ID
1902.02165
Category
cs.NI: Networking & Internet
Citations
54
Venue
CCRV
Last Checked
5 months ago
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.
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