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https://doi.org/10.21256/zhaw-23956| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Towards reproducible software studies with MAO and Renku |
| Authors: | Spillner, Josef Gkikopoulos, Panagiotis Delgado, Pamela Choirat, Christine |
| et. al: | No |
| DOI: | 10.1016/j.softx.2021.100947 10.21256/zhaw-23956 |
| Published in: | SoftwareX |
| Volume(Issue): | 17 |
| Issue: | 100947 |
| Issue Date: | 2022 |
| Publisher / Ed. Institution: | Elsevier |
| ISSN: | 2352-7110 |
| Language: | English |
| Subjects: | Software technology; Data science; Reproducibility |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | In 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/23956 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Applied Information Technology (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Spillner-Gkikopoulus_MAO-Renku_SoftwareX.pdf | 3.71 MB | Adobe PDF |  View/Open |
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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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