The 16 papers in this collection describe tools and techniques that are either available or under development to support the maximization of the efficacy and efficiency of model-driven software development. Several papers approach models as communication tools for bridging the gap between humans and computers, eliciting system requirements from stakeholders, and improving productivity. Other contributions propose a temporal meta-data framework for enterprise information systems, a context-aware architecture for user interface personalization, a parameterized transformation schema for a non-functional properties model, and machine learning techniques for automatically deriving transformation rules in data warehousing.
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