Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5191
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dc.contributorDepartment of Computing-
dc.creatorTran, VTK-
dc.creatorLee, K-
dc.creatorFekete, A-
dc.creatorLiu, A-
dc.creatorKeung, J-
dc.date.accessioned2014-12-11T08:23:35Z-
dc.date.available2014-12-11T08:23:35Z-
dc.identifier.isbn978-0-7695-4604-9-
dc.identifier.urihttp://hdl.handle.net/10397/5191-
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.rights©2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Tran, V. T. K., Lee, K., Fekete, A., Liu, A., & Keung, J. (2011). Size estimation of cloud migration projects with cloud migration point (CMP). Paper presented at the Proceedings - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011, 265-274 is available at http://dx.doi.org/10.1109/ESEM.2011.35en_US
dc.subjectSize measuresen_US
dc.subjectCloud computingen_US
dc.subjectMigrationen_US
dc.subjectTheoretical validationen_US
dc.subjectEmpirical validationen_US
dc.subjectEffort estimationen_US
dc.titleSize estimation of cloud migration projects with cloud migration point (CMP)en_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ESEM.2011.35-
dcterms.abstractOne major obstacle to enterprise adoption of cloud technologies has been the lack of visibility into migration effort and cost. In this paper, we present a methodology, called Cloud Migration Point (CMP), for estimating the size of cloud migration projects, by recasting a well-known software size estimation model called Function Point (FP) into the context of cloud migration. We empirically evaluate our CMP model by performing a cross-validation on six different small-scale cloud migration projects and show that our size estimation model can be used as a reliable predictor for effort estimation. Furthermore, we prove that our CMP model satisfies the fundamental properties of a software size measure.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings - 2011 Fifth International Symposium on Empirical Software Engineering and Measurement, ESEM 2011, 19-23 September 2011, Banff, Alberta, Canada, p. 265-274-
dcterms.issued2011-09-23-
dc.identifier.scopus2-s2.0-84055187667-
dc.identifier.rosgroupidr61909-
dc.description.ros2011-2012 > Academic research: refereed > Refereed conference paper-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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