Size estimation of cloud migration projects with Cloud Migration Point (CMP)

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

18 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number6092575
Pages (from-to)265-274
Journal / PublicationInternational Symposium on Empirical Software Engineering and Measurement
Publication statusPublished - 2011
Externally publishedYes

Conference

Title2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
PlaceCanada
CityBanff, AB
Period19 - 23 September 2011

Abstract

One 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. © 2011 IEEE.

Research Area(s)

  • Cloud computing, Effort estimation, Empirical validation, Migration, Size measures, Theoretical validation