Editors:
- Provides insights to key features of the use of runtime models
- Comprises roadmaps with future challenges for the field and research papers from experts in the area
- State-of-the-art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8378)
Part of the book sub series: Programming and Software Engineering (LNPSE)
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Table of contents (11 chapters)
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Front Matter
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Normal Chapters
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Back Matter
About this book
Keywords
- MDE
- MDSD
- applied computing
- assurance techniques
- enterprise computing
- model-driven engineering
- model-driven software development
- process modeling
- reference architecture
- reference models
- runtime models
- security
- self-adaptive software
- self-adaptive systems
- software creation and management
- software engineering
- software extra-functional properties
- software safety
- software system models
- uncertainty
Editors and Affiliations
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School of Engineering and Applied Science, Aston University, Birmingham, UK
Nelly Bencomo
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Department of Computer Science, Colorado State University, Fort Collins, USA
Robert France
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Department of Computer Science and Engineering, Michigan State University, East Lansing, USA
Betty H. C. Cheng
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Institut für Software- und Multimediatechnik, Technische Universität Dresden, Dresden, Germany
Uwe Aßmann
Bibliographic Information
Book Title: Models@run.time
Book Subtitle: Foundations, Applications, and Roadmaps
Editors: Nelly Bencomo, Robert France, Betty H. C. Cheng, Uwe Aßmann
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-08915-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-08914-0Published: 18 July 2014
eBook ISBN: 978-3-319-08915-7Published: 05 July 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 319
Number of Illustrations: 89 b/w illustrations
Topics: Software Engineering, Programming Techniques, Management of Computing and Information Systems, Simulation and Modeling