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Model-Based Methodologies for Pervasive and Embedded Software : 8th International Workshop, MOMPES 2012, Essen, Germany, September 4, 2012, Revised Papers / edited by Ricardo J. Machado, Rita Suzana Maciel, Julia Rubin, Goetz Botterweck.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Programming and software engineering ; SL 2, 7706.
- Programming and Software Engineering ; 7706
- Language:
- English
- Subjects (All):
- Software engineering.
- Computer logic.
- Computer networks.
- Programming languages (Electronic computers).
- Artificial intelligence.
- Computer simulation.
- Software Engineering.
- Logics and Meanings of Programs.
- Computer Communication Networks.
- Programming Languages, Compilers, Interpreters.
- Artificial Intelligence.
- Simulation and Modeling.
- Local Subjects:
- Software Engineering.
- Logics and Meanings of Programs.
- Computer Communication Networks.
- Programming Languages, Compilers, Interpreters.
- Artificial Intelligence.
- Simulation and Modeling.
- Physical Description:
- 1 online resource (X, 139 pages) : 61 illustrations.
- Edition:
- First edition 2013.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
- System Details:
- text file PDF
- Summary:
- This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Model-Based Methodologies for Pervasive and Embedded Software, MOMPES 2012, held in Essen, Germany, in September 2012. The 7 revised full papers presented together with 1 short papers were carefully reviewed and selected from 16 submissions. The papers cover a large spectrum of topics including model-driven engineering, model analysis, runtime verification, modeling of reactive systems, variability modeling, and domain-specific languages.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-38209-3
- 9783642382093
- Access Restriction:
- Restricted for use by site license.
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