Encouraging Reproducibility in Scientific Research of the Internet (Dagstuhl Seminar 18412)
Encouraging Reproducibility in Scientific Research of the Internet (Dagstuhl Seminar 18412)
复制标题
鼓励互联网科学研究的可重复性（Dagstuhl 研讨会 18412）
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
D. Karrenberg
中科院分区：
文献类型：
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作者：
Vaibhav Bajpai;O. Bonaventure;K. Claffy;D. Karrenberg
计算机科学研究（CS）的可重复性，尤其是网络领域是一个良好认可的问题。结果的可重复性，倾向于接受似乎合理的论文。我们作为一个社区可以提出的一系列建议，以使我们的工作重现进行文化变革。对于计算机网络研究，尽管结果可能与多个跨学科领域的更广泛的受众有关。
Reproducibility of research in Computer Science (CS) and in the field of networking in particular is a well-recognized problem. For several reasons, including the sensitive and/or proprietary nature of some Internet measurements, the networking research community pays limited attention to the of reproducibility of results, instead tending to accept papers that appear plausible. This article summarises a 2.5 day long Dagstuhl seminar on Encouraging Reproducibility in Scientific Research of the Internet held in October 2018. The seminar discussed challenges to improving reproducibility of scientific Internet research, and developed a set of recommendations that we as a community can undertake to initiate a cultural change toward reproducibility of our work. It brought together people both from academia and industry to set expectations and formulate concrete recommendations for reproducible research. This iteration of the seminar was scoped to computer networking research, although the outcomes are likely relevant for a broader audience from multiple interdisciplinary fields. Seminar October 7–10, 2018 – http://www.dagstuhl.de/18412 2012 ACM Subject Classification Networks
Dagstuhl 实验网络研究再现性初学者指南
影响因子：
2.8
作者：
Bajpai, Vaibhav;Brunstrom, Anna;Feldmann, Anja;Kellerer, Wolfgang;Pras, Aiko;Schulzrinne, Henning;Smaragdakis, Georgios;Wählisch, Matthias;Wehrle, Klaus
通讯作者：
Wehrle, Klaus