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There is an ever-growing demand for variability of software.
Rigorous statistical analysis accounted for variability between human patients.
Moderator analyses were performed to examine possible reasons for variability in effects.
However DWB concentrations account for variability in moisture and permit comparisons across different STP categories.
We did assess for variability in technology adoption by ED characteristics, and found no significant variation.
Statistical compact modeling (SCM) is necessary for variability aware design at nanometer regime.
Such solutions promote effective and formally sound methods for variability modeling and configuration management.
Finally, it details the optimizations of robust design for variability and reliability.
Feature models are widely used for variability and commonality management in software product lines.
Task-related factors accounted for variability mainly as a function of the segment being considered.
These criteria include providing useful decompositions, simple state mappings, and the ability to account for variability.
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