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
Link To Document