• DocumentCode
    2514251
  • Title

    Size Estimation of Cloud Migration Projects with Cloud Migration Point (CMP)

  • Author

    Tran, Van T K ; Lee, Kevin ; Fekete, Alan ; Liu, Anna ; Keung, Jacky

  • Author_Institution
    Nat. ICT Australia Ltd., Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    22-23 Sept. 2011
  • Firstpage
    265
  • Lastpage
    274
  • 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.
  • Keywords
    business data processing; cloud computing; cloud migration point; cloud migration projects; cloud technologies; effort estimation; enterprise adoption; function point; size estimation; software size measure; Complexity theory; Databases; Estimation; Libraries; Local area networks; Size measurement; Software; cloud computing; effort estimation; empirical validation; migration; size measures; theoretical validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement (ESEM), 2011 International Symposium on
  • Conference_Location
    Banff, AB
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4577-2203-5
  • Type

    conf

  • DOI
    10.1109/ESEM.2011.35
  • Filename
    6092575