English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Paper

The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

MPS-Authors
/persons/resource/persons211491

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

arXiv:1902.02165.pdf
(Preprint), 143KB

Supplementary Material (public)
There is no public supplementary material available
Citation

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.


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