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.
| Original language | English |
|---|---|
| Article number | 6092575 |
| Pages (from-to) | 265-274 |
| Journal | International Symposium on Empirical Software Engineering and Measurement |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011 - Banff, AB, Canada Duration: 19 Sept 2011 → 23 Sept 2011 |
Research Keywords
- Cloud computing
- Effort estimation
- Empirical validation
- Migration
- Size measures
- Theoretical validation
Fingerprint
Dive into the research topics of 'Size estimation of cloud migration projects with Cloud Migration Point (CMP)'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver