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Hypothesis-driven experiment design in computer simulation studies.

Chan, Victor (Hrsg). WSC. Piscataway, NJ: IEEE 2017 S. 1360 - 1371

Erscheinungsjahr: 2017

ISBN/ISSN: 978-1-5386-3428-8 ; 978-1-5386-3249-5 ; 978-1-5386-3430-1

Publikationstyp: Buchbeitrag (Konferenzbeitrag)

Sprache: Englisch

Doi/URN: 10.1109/WSC.2017.8247880

Volltext über DOI/URN

Geprüft:Bibliothek

Inhaltszusammenfassung


In simulation studies, the goal specifies the objective or purpose of the study and thus drives the entire experimentation process. Relevant experiments and respective experiment hypotheses are derived from the study’s goal and the model’s observed behavior provides evidence whether these hypotheses hold. Current assistance systems do not integrate research hypotheses. Thus, the researcher has to make important design decisions which limits both replicability and reproducibility of the resul...In simulation studies, the goal specifies the objective or purpose of the study and thus drives the entire experimentation process. Relevant experiments and respective experiment hypotheses are derived from the study’s goal and the model’s observed behavior provides evidence whether these hypotheses hold. Current assistance systems do not integrate research hypotheses. Thus, the researcher has to make important design decisions which limits both replicability and reproducibility of the results. In this paper, the process of simulation studies is systematized based on a formally specified hypothesis. By this means, the research hypothesis becomes the key element of the study and guides the entire process. Hypothesis-driven simulation studies allow for the automated design, execution, and evaluation of experiments based on specific research questions. This facilitates documentation and execution as well as replication of simulation studies. » weiterlesen» einklappen

Autoren


Lorig, Fabian (Autor)
S. Lebherz, Daniel (Autor)
Ole Berndt, Jan (Autor)
J. Timm, Ingo (Autor)

Klassifikation


DDC Sachgruppe:
Informatik

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