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

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

doi:10.1109/esem.2011.35

Author(s)

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

Detail(s)

Original language	English
Article number	6092575
Pages (from-to)	265-274
Journal / Publication	International Symposium on Empirical Software Engineering and Measurement
Publication status	Published - 2011
Externally published	Yes

Conference

Title	2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
Place	Canada
City	Banff, AB
Period	19 - 23 September 2011

Link(s)

DOI	DOI https://doi.org/10.1109/esem.2011.35 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-84863347280&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(e668016c-9804-4788-bf38-9e41e7d61e77).html

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.