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dc.contributor.authorBerger, Thorsten
dc.contributor.authorSteghöfer, Jan-Philipp
dc.contributor.authorZiadi, Tewfik
dc.contributor.authorRobin, Jacques
dc.contributor.authorMartinez, Jabier
dc.date.accessioned2020-05-20T08:50:02Z
dc.date.available2020-05-20T08:50:02Z
dc.date.issued2020-05
dc.identifier.citationBerger, Thorsten, Jan-Philipp Steghöfer, Tewfik Ziadi, Jacques Robin, and Jabier Martinez. “The State of Adoption and the Challenges of Systematic Variability Management in Industry.” Empirical Software Engineering 25, no. 3 (April 4, 2020): 1755–1797. doi:10.1007/s10664-019-09787-6.en
dc.identifier.issn1382-3256en
dc.identifier.urihttp://hdl.handle.net/11556/921
dc.description.abstractHandling large-scale software variability is still a challenge for many organizations. After decades of research on variability management concepts, many industrial organizations have introduced techniques known from research, but still lament that pure textbook approaches are not applicable or efficient. For instance, software product line engineering—an approach to systematically develop portfolios of products—is difficult to adopt given the high upfront investments; and even when adopted, organizations are challenged by evolving their complex product lines. Consequently, the research community now mainly focuses on re-engineering and evolution techniques for product lines; yet, understanding the current state of adoption and the industrial challenges for organizations is necessary to conceive effective techniques. In this multiple-case study, we analyze the current adoption of variability management techniques in twelve medium- to large-scale industrial cases in domains such as automotive, aerospace or railway systems. We identify the current state of variability management, emphasizing the techniques and concepts they adopted. We elicit the needs and challenges expressed for these cases, triangulated with results from a literature review. We believe our results help to understand the current state of adoption and shed light on gaps to address in industrial practice.en
dc.description.sponsorshipThis work is supported by Vinnova Sweden, Fond Unique Interminist´eriel (FUI) France, and the Swedish Research Council. Open access funding provided by University of Gothenburgen
dc.language.isoengen
dc.publisherSpringer Natureen
dc.titleThe state of adoption and the challenges of systematic variability management in industryen
dc.typearticleen
dc.identifier.doi10.1007/s10664-019-09787-6en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsVariability managementen
dc.subject.keywordsSoftware product linesen
dc.subject.keywordsMultiple-case studyen
dc.subject.keywordsChallengesen
dc.identifier.essn1573-7616en
dc.issue.number3en
dc.journal.titleEmpirical Software Engineeringen
dc.page.final1797en
dc.page.initial1755en
dc.volume.number25en


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