Please use this identifier to cite or link to this item: 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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