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dc.contributor.authorYildirim, İ.
dc.contributor.authorSözer, Hasan
dc.date.accessioned2018-04-06T11:50:29Z
dc.date.available2018-04-06T11:50:29Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-2072-4
dc.identifier.urihttp://hdl.handle.net/10679/5797
dc.identifier.urihttp://ieeexplore.ieee.org/document/8004356/
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractDomain analysis is an essential activity in software product line engineering to identify common and variable features among the products of a product family. Feature models are commonly used for depicting the identified commonalities and variations. However, it requires significant time and effort to perform domain analysis and to create a feature model. We introduce a method and a tool for automatic extraction of a feature model based on a given set of android based portable devices. We use native applications that extract information regarding the available features, sensors and other peripherals. Hence, our approach does not require any manual effort, for instance, to create product specifications as input. We performed an industrial case study with a real product family of a consumer electronics company. We observed promising results in which a feature model is automatically constructed and the accuracy of the model is approved by product managers.en_US
dc.description.sponsorshipVestel Electronics
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofSoftware Quality, Reliability and Security Companion (QRS-C), 2017 IEEE International Conference on
dc.rightsrestrictedAccess
dc.titleAutomated extraction of feature models from android based portable devicesen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-2968-4763 & YÖK ID 23178) Sözer, Hasan
dc.contributor.ozuauthorSözer, Hasan
dc.identifier.startpage441en_US
dc.identifier.endpage448en_US
dc.identifier.wosWOS:000426819400070
dc.identifier.doi10.1109/QRS-C.2017.78en_US
dc.subject.keywordsDomain analysisen_US
dc.subject.keywordsFeature modelsen_US
dc.subject.keywordsVariability modelingen_US
dc.subject.keywordsReverse engineeringen_US
dc.subject.keywordsAndroid devicesen_US
dc.subject.keywordsIndustrial case studyen_US
dc.identifier.scopusSCOPUS:2-s2.0-85034417766
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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