Issue No. 06 - Nov.-Dec. (2011 vol. 28)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2011.114
Spencer Rugaber , Georgia Institute of Technology
Rocky Dunlap , Georgia Institute of Technology
Leo Mark , Georgia Institute of Technology
Sameer Ansari , Georgia Institute of Technology
Coupled climate models exhibit scientific, numerical, and architectural variability. This variability introduces requirements that give rise to complexity. However, techniques exist that can tame this complexity; one such technique is feature analysis. As climate model fidelity and complexity increase, the climate-modeling community should adopt a systematic way to deal with software variability.
climate modeling, earth and atmospheric sciences, automatic programming, domain engineering, reusable software, software engineering
S. Rugaber, S. Ansari, L. Mark and R. Dunlap, "Managing Software Complexity and Variability in Coupled Climate Models," in IEEE Software, vol. 28, no. , pp. 43-48, 2011.