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Software and Data Technologies

Overview of attention for book
Cover of 'Software and Data Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Data, Context, Situation: On the Usefulness of Semantic Layers for Designing Context-Aware Systems
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    Chapter 2 Fencing the Lamb: A Chart Parser for ModelCC
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    Chapter 3 Cross-Platform Application Development Using AXIOM as an Agile Model-Driven Approach
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    Chapter 4 Rapidly Implementing EMF Applications with EMF Components
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    Chapter 5 Generic Programming in Pharo
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    Chapter 6 Peer-to-Peer Remote Service Discovery in Pervasive Computing
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    Chapter 7 Model Checking Combined Fragments of Sequence Diagrams
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    Chapter 8 A Large-Scale Elastic Environment for Scientific Computing
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    Chapter 9 Improving Estimates by Hybriding CMMI and Requirement Engineering Maturity Models – A LEGO Application
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    Chapter 10 Metamodel Independence in Domain Specific Modeling Languages
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    Chapter 11 Service-Oriented Integration of Metamodels’ Behavioural Semantics
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    Chapter 12 Fine-Grained Role- and Attribute-Based Access Control for Web Applications
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    Chapter 13 An Approach to Context Modeling in Software Development
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    Chapter 14 Linear Software Models Are Theoretical Standards of Modularity
Attention for Chapter 2: Fencing the Lamb: A Chart Parser for ModelCC
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Chapter title
Fencing the Lamb: A Chart Parser for ModelCC
Chapter number 2
Book title
Software and Data Technologies
Published by
Springer, Berlin, Heidelberg, July 2012
DOI 10.1007/978-3-642-45404-2_2
Book ISBNs
978-3-64-245403-5, 978-3-64-245404-2
Authors

Luis Quesada, Fernando Berzal, Francisco J. Cortijo, Quesada, Luis, Berzal, Fernando, Cortijo, Francisco J.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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