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  The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

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.

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arXiv:1902.02165.pdf (Preprint), 143KB
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arXiv:1902.02165.pdf
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 Creators:
Bajpai, Vaibhav1, Author
Brunstrom, Anna1, Author
Feldmann, Anja2, Author           
Kellerer, Wolfgang1, Author
Pras, Aiko1, Author
Schulzrinne, Henning1, Author
Smaragdakis, Georgios1, Author
Wählisch, Matthias1, Author
Wehrle, Klaus1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Internet Architecture, MPI for Informatics, Max Planck Society, ou_2489697              

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Free keywords: Computer Science, Networking and Internet Architecture, cs.NI
 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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Language(s): eng - English
 Dates: 2019-01-122019
 Publication Status: Published online
 Pages: 8 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1902.02165
URI: http://arxiv.org/abs/1902.02165
BibTex Citekey: Bajpai_arXiv2019
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