Advances and Applications in Model-Driven Engineering - Hardcover

Hardcover

ISBN 10: 146664494X ISBN 13: 9781466644946

Publisher: Information Science Reference, 2013

Synopsis

As organizations and research institutions continue to emphasize model-driven engineering (MDE) as a first-class approach in the software development process of complex systems, the utilization of software in multiple domains and professional networks is becoming increasingly vital. Advances and Applications in Model-Driven Engineering explores this relatively new approach in software development that can increase the level of abstraction of development of tasks. This publication covers the issues of bridging the gaps between various disciplines within software engineering and computer science. Professionals, researchers, and students will discover the most current tools and techniques available in the field to maximize efficiency of model-driven software development.

About this title

About the Author

Vicente Garcia Diaz, Universidad de Oviedo, Spain. Juan Manuel Cueva Lovelle is a Mining Engineer from Oviedo Mining Engineers Technical School in 1983 (Oviedo University, Spain). Ph. D. from Madrid Polytechnic University, Spain (1990). From 1985 he is a Professor at the Languages and Computers Systems Area in Oviedo University (Spain). ACM and IEEE voting member. His research interests include Object-Oriented technology, Language Processors, Human-Computer Interface, Web Engineering, Modeling Software with BPM, DSL and MDA.), B. Cristina Pelayo Garcia-Bustelo, University of Oviedo, Spain. Oscar Sanjuan Martinez, University of Carlos III, Spain.

Review

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. --Annotation ©2013 Book News Inc. Portland, OR

Edition details

• Publisher: Information Science Reference
• Publication date: 2013
• Language: English
• ISBN 10: 146664494X
• ISBN 13: 9781466644946
• Binding: Hardcover
• Edition number: 1
• Number of pages: 404
• Editor: Daz Vicente Garca, Lovelle Juan Manuel Cueva, Garca-bustelo B. Cristina Pelayo, Martinez Oscar Sanjun