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The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

Authors
  • Bajpai, Vaibhav
  • Brunstrom, Anna
  • Feldmann, Anja
  • Kellerer, Wolfgang
  • Pras, Aiko
  • Schulzrinne, Henning
  • Smaragdakis, Georgios
  • Wählisch, Matthias
  • Wehrle, Klaus
Publication Date
Dec 02, 2019
Identifiers
DOI: 10.14279/depositonce-9374
OAI: oai:depositonce.tu-berlin.de:11303/10422
Source
DepositOnce
Keywords
Language
English
License
Unknown
External links

Abstract

© Owner/Author | ACM 2019 This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM SIGCOMM Computer Communication Review, http://dx.doi.org/10.1145/3314212.3314217. / 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. / EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNet

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