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The open science initiative of the Empirical Software Engineering journal
Technical University of Munich, Germany.ORCID iD: 0000-0003-0619-6027
KTH Royal Institute of Technology.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-5179-4205
Microsoft Research, United States.
2019 (English)In: Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 24, no 3, p. 1057-1060Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Springer-Verlag New York, 2019. Vol. 24, no 3, p. 1057-1060
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Software Engineering
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URN: urn:nbn:se:bth-24647DOI: 10.1007/s10664-019-09712-xScopus ID: 2-s2.0-85065411655OAI: oai:DiVA.org:bth-24647DiVA, id: diva2:1760175
Available from: 2023-05-29 Created: 2023-05-29 Last updated: 2023-06-30Bibliographically approved

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Mendez, DanielFeldt, Robert

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