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 journalArticleAcademic

    9 Citations (Scopus)
    53 Downloads (Pure)

    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
    Publication statusPublished - 1 Jan 2019

    Keywords

    • Experimental networking research
    • Guidance
    • Internet measurements
    • Reproducibility

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