The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research Show others and affiliations
2019 (English) In: Computer communication review, ISSN 0146-4833, E-ISSN 1943-5819, Vol. 49, no 1, p. 24-30Article in journal (Other academic) Published
Abstract [en]
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.
Place, publisher, year, edition, pages New York: Association for Computing Machinery (ACM), 2019. Vol. 49, no 1, p. 24-30
Keywords [en]
Experimental networking research, Internet measurements, Reproducibility, Guidance
National Category
Computer Sciences
Research subject Computer Science
Identifiers URN: urn:nbn:se:kau:diva-71721 DOI: 10.1145/3314212.3314217 ISI: 000460375100005 OAI: oai:DiVA.org:kau-71721 DiVA, id: diva2:1302640
2019-04-052019-04-052019-04-10 Bibliographically approved