Title :
Managing Software Complexity and Variability in Coupled Climate Models
Author :
Rugaber, Spencer ; Dunlap, Rocky ; Mark, Leo ; Ansari, Sameer
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
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.
Keywords :
computational complexity; software engineering; architectural variability; climate modeling community; coupled climate models; feature analysis; numerical variability; scientific variability; software complexity; software variability; Analytical models; Atmospheric measurements; Atmospheric modeling; Data models; Global warming; Meteorology; Software development; automatic programming; climate modeling; domain engineering; earth and atmospheric sciences; reusable software; software engineering;
Journal_Title :
Software, IEEE
DOI :
10.1109/MS.2011.114
