The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking ResearchVisa övriga samt affilieringar
2019 (Engelska)Ingår i: Computer communication review, ISSN 0146-4833, E-ISSN 1943-5819, Vol. 49, nr 1, s. 24-30Artikel i tidskrift (Övrigt vetenskapligt) 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.
Ort, förlag, år, upplaga, sidor
New York: Association for Computing Machinery (ACM), 2019. Vol. 49, nr 1, s. 24-30
Nyckelord [en]
Experimental networking research, Internet measurements, Reproducibility, Guidance
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-71721DOI: 10.1145/3314212.3314217ISI: 000460375100005OAI: oai:DiVA.org:kau-71721DiVA, id: diva2:1302640
2019-04-052019-04-052019-04-10Bibliografiskt granskad