The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. Bajpai, V., Brunstrom, A., Feldmann, A., Kellerer, W., Pras, A., Schulzrinne, H., Smaragdakis, G., Wählisch, M., & Wehrle, K. SIGCOMM Comput. Commun. Rev., 49(1):24–30, January, 2019.

Paper abstract bibtex

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.

@article{bajpai19dagstuhl_guide,
	title = {The {Dagstuhl} {Beginners} {Guide} to {Reproducibility} for {Experimental} {Networking} {Research}},
	volume = {49},
	url = {https://dl.acm.org/citation.cfm?id=3314217},
	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.},
	number = {1},
	urldate = {2019-02-21},
	journal = {SIGCOMM Comput. Commun. Rev.},
	author = {Bajpai, Vaibhav and Brunstrom, Anna and Feldmann, Anja and Kellerer, Wolfgang and Pras, Aiko and Schulzrinne, Henning and Smaragdakis, Georgios and Wählisch, Matthias and Wehrle, Klaus},
	month = jan,
	year = {2019},
	keywords = {Computer Science - Networking and Internet Architecture},
	pages = {24--30}
}

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