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Towards automated open source assessment - An empirical study
Blekinge Institute of Technology. student.
Blekinge Institute of Technology. student.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-6215-1774
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. City Network International AB.ORCID iD: 0000-0002-0128-4127
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2022 (English)In: CEUR Workshop Proceedings / [ed] Lee S.,Anwar S.,, Technical University of Aachen , 2022Conference paper, Published paper (Refereed)
Abstract [en]

The open source software (OSS) assessment has become important given the increased adoption of OSS in commercial product development. Researchers proposed many OSS assessment models. However, little is known about the industrial relevance of the models. In this study, we proposed an automated tool based on the OSS assessment attributes identified together with a European cloud provider company. We analyzed 51 repositories to observe patterns in maintenance activities over their lifetime (from inception to the latest release). Based on the analysis, we propose a novel approach for evaluating the maturity of the OSS project. Finally, we assessed the usefulness of our automated solution in a pilot study. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Place, publisher, year, edition, pages
Technical University of Aachen , 2022.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3362
Keywords [en]
commit classification, OSS assessment automation, software maturity, Automation, Open systems, Assessment models, Commercial products, Empirical studies, Open source software assessment automation, Open-source, Open-source softwares, Software assessment, Software maturities, Source assessment, Open source software
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-24473Scopus ID: 2-s2.0-85151663143OAI: oai:DiVA.org:bth-24473DiVA, id: diva2:1753251
Conference
1st International Workshop on Intelligent Software Engineering, ISE 2022, Virtual, Online, 6 December through 9 December 2022
Available from: 2023-04-26 Created: 2023-04-26 Last updated: 2023-04-26Bibliographically approved

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Badampudi, DeepikaAhmadi Mehri, VidaUsman, Muhammad

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CiteExportLink to record
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Citation style
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