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Replicability and Reproducibility of a Schema Evolution Study in Embedded Databases

  • Ascertaining the feasibility of independent falsification or repetition of published results is vital to the scientific process, and replication or reproduction experiments are routinely performed in many disciplines. Unfortunately, such studies are only scarcely available in database research, with few papers dedicated to re-evaluating published results. In this paper, we conduct a case study on replicating and reproducing a study on schema evolution in embedded databases. We can exactly repeat the outcome for one out of four database applications studied, and come close in two further cases. By reporting results, efforts, and obstacles encountered, we hope to increase appreciation for the substantial efforts required to ensure reproducibility. By discussing minutiae details required to ascertain reproducible work, we argue that such important, but often ignored aspects of scientific work should receive more credit in the evaluation of future research.

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Metadaten
Author:Dimitri Braininger, Wolfgang MauererORCiDGND, Stefanie ScherzingerORCiD
DOI:https://doi.org/10.1007/978-3-030-65847-2_19
ISBN:978-3-030-65846-5
Parent Title (English):Advances in conceptual modeling: ER 2020 Workshops CMAI, CMLS, CMOMM4FAIR, CoMoNoS, EmpER, Vienna, Austria, November 3-6, 2020, Proceedings
Publisher:Springer
Place of publication:Cham
Editor:Georg Grossmann, Sudha Ram
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2020
Release Date:2022/04/11
Tag:replicability; reproducibility; schema evolution
Volume:12584
First Page:210
Last Page:219
Andere Schriftenreihe:Lecture Notes in Computer Science ; 12584
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Labor für Digitalisierung (LFD)
Begutachtungsstatus:peer-reviewed
research focus:Digitalisierung
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG