The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research
Networking and Internet Architecture
2019-02-07 v1
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.
Keywords
Cite
@article{arxiv.1902.02165,
title = {The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research},
author = {Vaibhav Bajpai and Anna Brunstrom and Anja Feldmann and Wolfgang Kellerer and Aiko Pras and Henning Schulzrinne and Georgios Smaragdakis and Matthias Wählisch and Klaus Wehrle},
journal= {arXiv preprint arXiv:1902.02165},
year = {2019}
}