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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23956
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dc.contributor.authorSpillner, Josef-
dc.contributor.authorGkikopoulos, Panagiotis-
dc.contributor.authorDelgado, Pamela-
dc.contributor.authorChoirat, Christine-
dc.date.accessioned2022-01-20T10:36:38Z-
dc.date.available2022-01-20T10:36:38Z-
dc.date.issued2022-
dc.identifier.issn2352-7110de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23956-
dc.description.abstractIn software engineering, the developers’ joy of decomposing and recomposing microservice-based applications has led to an enormous wave of microservice artefact technologies. To understand them better, researchers perform hundreds of experiments and empirical studies on them each year. Improving the reuse and reproducibility of these studies requires two ingredients: A system to automate repetitive experiments, and a research data management system with emphasis on making research reproducible. Both frameworks are now available via the Microservice Artefact Observatory (MAO) and Renku. In this paper, we explain the current capabilities of MAO as a global federated research infrastructure for determining software quality characteristics. Moreover, we emphasise the integration of MAO with Renku to demonstrate how a reproducible end-to-end experiment workflow involving globally distributed research teams looks like.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofSoftwareXde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectSoftware technologyde_CH
dc.subjectData sciencede_CH
dc.subjectReproducibilityde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleTowards reproducible software studies with MAO and Renkude_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1016/j.softx.2021.100947de_CH
dc.identifier.doi10.21256/zhaw-23956-
zhaw.funding.euNot specifiedde_CH
zhaw.issue100947de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume17de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedService Engineeringde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Spillner, J., Gkikopoulos, P., Delgado, P., & Choirat, C. (2022). Towards reproducible software studies with MAO and Renku. SoftwareX, 17(100947). https://doi.org/10.1016/j.softx.2021.100947
Spillner, J. et al. (2022) ‘Towards reproducible software studies with MAO and Renku’, SoftwareX, 17(100947). Available at: https://doi.org/10.1016/j.softx.2021.100947.
J. Spillner, P. Gkikopoulos, P. Delgado, and C. Choirat, “Towards reproducible software studies with MAO and Renku,” SoftwareX, vol. 17, no. 100947, 2022, doi: 10.1016/j.softx.2021.100947.
SPILLNER, Josef, Panagiotis GKIKOPOULOS, Pamela DELGADO und Christine CHOIRAT, 2022. Towards reproducible software studies with MAO and Renku. SoftwareX. 2022. Bd. 17, Nr. 100947. DOI 10.1016/j.softx.2021.100947
Spillner, Josef, Panagiotis Gkikopoulos, Pamela Delgado, and Christine Choirat. 2022. “Towards Reproducible Software Studies with MAO and Renku.” SoftwareX 17 (100947). https://doi.org/10.1016/j.softx.2021.100947.
Spillner, Josef, et al. “Towards Reproducible Software Studies with MAO and Renku.” SoftwareX, vol. 17, no. 100947, 2022, https://doi.org/10.1016/j.softx.2021.100947.


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