DagRep.6.3.24.pdf
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Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111)
Authors and all authors of the abstracts in this report
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Part of:
Issue:
Dagstuhl Reports, Volume 6, Issue 3
Volume: Dagstuhl Reports, Volume 6
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2016-09-20
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Daniel Delling, Camil Demetrescu, David S. Johnson, and Jan Vitek. Rethinking Experimental Methods in Computing (Dagstuhl Seminar 16111). In Dagstuhl Reports, Volume 6, Issue 3, pp. 24-43, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)
https://doi.org/10.4230/DagRep.6.3.24
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.
Subject Classification
Keywords
- Algorithms
- Benchmarks
- Data sets
- Experiments
- Repeatability
- Reproducibility
- Software Artifacts
- Statistics
Metrics
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Total Accesses (updated on a weekly basis)
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