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Integrating heterogeneous variability modeling approaches with invar

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dc.contributor.author Dhungana, Deepak
dc.contributor.author Seichter, Dominik
dc.contributor.author Botterweck, Goetz
dc.contributor.author Rabiser, Rick
dc.contributor.author Grunbacher, Paul
dc.contributor.author Benavides, David
dc.date.accessioned 2013-08-26T13:26:56Z
dc.date.available 2013-08-26T13:26:56Z
dc.date.issued 2013
dc.identifier.uri http://hdl.handle.net/10344/3354
dc.description peer-reviewed en_US
dc.description.abstract There have been several proposals to describe the variability of software product lines by using modeling languages. In larger organizations or projects (e.g., multi product line environments) this can lead to a situation where multiple variability modeling techniques are used simultaneously. Rather than enforcing a single modeling language, we present an integrative infrastructure that provides a unified perspective for users configuring products in such multi product line environments, regardless of the different modeling methods and tools used internally. In this tool demonstration paper, we present a prototypical implementation of our framework based on Web services. So far, the prototype has been used with a feature-based, an OVM-style and a decision-oriented variability modeling approach. en_US
dc.language.iso eng en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartofseries In Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems (VaMoS '13);Artilce 8
dc.relation.uri http://dx.doi.org/10.1145/2430502.2430514
dc.rights "© ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in In Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems (VaMoS '13) http://dx.doi.org/10.1145/2430502.2430514 en_US
dc.subject variability modeling en_US
dc.subject product configuration en_US
dc.subject integrated tool en_US
dc.subject Web service en_US
dc.title Integrating heterogeneous variability modeling approaches with invar en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1145/2430502.2430514
dc.contributor.sponsor SFI en_US
dc.contributor.sponsor Christian Doppler Forschungsgesellschaft en_US
dc.contributor.sponsor FEDER en_US
dc.contributor.sponsor Spanish Government en_US
dc.contributor.sponsor Andalusian Government en_US
dc.relation.projectid 10/CE/I1855 en_US
dc.relation.projectid SETI (TIN2009-07366) en_US
dc.relation.projectid THEOS (TIC-5906) en_US
dc.relation.projectid Talentia program en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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