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A Method for Gathering Evidence from Software in Use to Support Software Evolution
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0001-7368-4448
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.
2020 (English)In: Journal of Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616Article in journal (Refereed) Submitted
Place, publisher, year, edition, pages
2020.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-19474OAI: oai:DiVA.org:bth-19474DiVA, id: diva2:1431000
Available from: 2020-05-18 Created: 2020-05-18 Last updated: 2020-05-19Bibliographically approved
In thesis
1. Combining User Feedback and Monitoring Data to Support Evidence-based Software Evolution
Open this publication in new window or tab >>Combining User Feedback and Monitoring Data to Support Evidence-based Software Evolution
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2020
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 4
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-19397 (URN)978-91-7295-402-1 (ISBN)
Supervisors
Available from: 2020-04-30 Created: 2020-04-29 Last updated: 2020-05-19Bibliographically approved

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Fotrousi, FarnazFricker, SamuelFiedler, Markus

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