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.
REF adapted the function point method in order to estimate the costs of cloud migration projects and classified the applications potentially migrated to the cloud.
Size Estimation of Cloud Migration Projects with Cloud Migration Point (CMP)
2011 International Symposium on Empirical Software Engineering and Measurement
2011 International Symposium on Empirical Software Engineering and Measurement
Computer Science