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DOI: 10.4230/DagRep.6.3.24
URN: urn:nbn:de:0030-drops-61463
URL: http://drops.dagstuhl.de/opus/volltexte/2016/6146/
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Delling, Daniel ; Demetrescu, Camil ; Johnson, David S. ; Vitek, Jan
Weitere Beteiligte (Hrsg. etc.): Daniel Delling and Camil Demetrescu and David S. Johnson and Jan Vitek

Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111)

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dagrep_v006_i003_p024_s16111.pdf (2 MB)


Abstract

This report documents the talks and discussions at the Dagstuhl seminar 16111 "Rethinking Experimental Methods in Computing". The seminar brought together researchers from several computer science communities, including algorithm engineering, programming languages, information retrieval, high-performance computing, operations research, performance analysis, embedded systems, distributed systems, and software engineering. The main goals of the seminar were building a network of experimentalists and fostering a culture of sound quantitative experiments in computing. During the seminar, groups of participants have worked on distilling useful resources based on the collective experience gained in different communities and on planning actions to promote sound experimental methods and reproducibility efforts.

BibTeX - Entry

@Article{delling_et_al:DR:2016:6146,
  author =	{Daniel Delling and Camil Demetrescu and David S. Johnson and Jan Vitek},
  title =	{{Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111)}},
  pages =	{24--43},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{3},
  editor =	{Daniel Delling and Camil Demetrescu and David S. Johnson and Jan Vitek},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6146},
  URN =		{urn:nbn:de:0030-drops-61463},
  doi =		{10.4230/DagRep.6.3.24},
  annote =	{Keywords: Algorithms, Benchmarks, Data sets, Experiments, Repeatability, Reproducibility, Software Artifacts, Statistics}
}

Keywords: Algorithms, Benchmarks, Data sets, Experiments, Repeatability, Reproducibility, Software Artifacts, Statistics
Seminar: Dagstuhl Reports, Volume 6, Issue 3
Issue Date: 2016
Date of publication: 20.09.2016


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