The dagstuhl beginners guide to reproducibility for experimental networking research

Vaibhav Bajpai, Wolfgang Kellerer, Georgios Smaragdakis, Anna Brunstrom, Aiko Pras, Matthias Wählisch, Anja Feldmann, Henning Schulzrinne, Klaus Wehrle

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

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.

Original languageEnglish
Pages (from-to)24-30
Number of pages7
JournalComputer Communication Review
Volume49
Issue number1
DOIs
StatePublished - Jan 2019

Keywords

  • Experimental networking research
  • Guidance
  • Internet measurements
  • Reproducibility

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