Advances and Applications in Model-Driven Engineering

Advances and Applications in Model-Driven Engineering

Vicente García Díaz, Juan Manuel Cueva Lovelle, B. Cristina Pelayo García-Bustelo, Oscar Sanjuán Martinez
Indexed In: INSPEC, SCOPUS View 1 More Indices
Release Date: August, 2013|Copyright: © 2014 |Pages: 426
DOI: 10.4018/978-1-4666-4494-6
ISBN13: 9781466644946|ISBN10: 146664494X|EISBN13: 9781466644953
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Domain-Specific Languages
  • Event Processing
  • Mobile Technologies
  • Model Synthesis
  • Ontologies
  • Quality Assurance
  • System Engineering
Reviews & Statements

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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Editor/Author Biographies
Vicente García Díaz is an associate professor in the Computer Science Department of the University of Oviedo. He has a PhD from the University of Oviedo in computer engineering. His research interests include model-driven engineering, domain specific languages, technology for learning and entertainment, project risk management, software development processes and practices. He has graduated in Prevention of Occupational Risks and is a Certified Associate in Project Management through the Project Management Institute.
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.
Begoña Cristina Pelayo García-Bustelo is a lecturer in the Computer Science Department of the University of Oviedo. She has a PhD from the University of Oviedo in computer engineering. Her research interests include object-oriented technology, Web engineering, eGovernment, modeling software with BPM, DSL and MDA.

Oscar Sanjuán Martínez is a lecturer in the Computer Science Department of the Carlos III University of Madrid. He has a PhD from the Pontifical University of Salamanca in computer engineering. His research interests include object-oriented technology, Web engineering, software agents, modeling software with BPM, DSL, and MDA.

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