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High Confidence Software Reuse in Large Systems

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Cover of 'High Confidence Software Reuse in Large Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introducing Architecture-Centric Reuse into a Small Development Organization
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    Chapter 2 An Architectural Style for Data-Driven Systems
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    Chapter 3 Architectural Analysis Approaches: A Component-Based System Development Perspective
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    Chapter 4 Component-Based Abstraction and Refinement
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    Chapter 5 High Confidence Subsystem Modelling for Reuse
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    Chapter 6 A Trustable Brokerage Solution for Component and Service Markets
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    Chapter 7 Recommending Typical Usage Examples for Component Retrieval in Reuse Repositories
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    Chapter 8 A Reuse Repository System: From Specification to Deployment
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    Chapter 9 COTS Selection Best Practices in Literature and in Industry
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    Chapter 10 Mining Open Source Component Behavior for Reuse Evaluation
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    Chapter 11 Combining Different Product Line Models to Balance Needs of Product Differentiation and Reuse
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    Chapter 12 Integrating Component and Product Lines Technologies
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    Chapter 13 Feature Implementation Modeling Based Product Derivation in Software Product Line
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    Chapter 14 Feature-Oriented Analysis and Specification of Dynamic Product Reconfiguration
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    Chapter 15 Managing Large Scale Reuse Across Multiple Software Product Lines
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    Chapter 16 Quality Assessment in Software Product Lines
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    Chapter 17 Managing Variability in Reusable Requirement Models for Software Product Lines
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    Chapter 18 A BDD-Based Approach to Verifying Clone-Enabled Feature Models’ Constraints and Customization
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    Chapter 19 Performing Domain Analysis for Model-Driven Software Reuse
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    Chapter 20 Exploiting COTS-Based RE Methods: An Experience Report
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    Chapter 21 Towards Reusable Automation System Components
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    Chapter 22 An Approach to Domain-Specific Reuse in Service-Oriented Environments
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    Chapter 23 View-Based Reverse Engineering Approach for Enhancing Model Interoperability and Reusability in Process-Driven SOAs
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    Chapter 24 A Lightweight Approach to Partially Reuse Existing Component-Based System in Service-Oriented Environment
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    Chapter 25 Towards Variable Service Compositions Using VxBPEL
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    Chapter 26 Abstract Reachability Graph for Verifying Web Service Interfaces
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    Chapter 27 Reuse: From Components to Services
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    Chapter 28 Active Binding Technology: A Reuse-Enabling Component Model
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    Chapter 29 Collective Reuse of Software Components Speeds-Up Reliability
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    Chapter 30 Refinement of Component Model Standards and Conventions
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    Chapter 31 High Confidence Software Reuse in Large Systems
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    Chapter 32 Conquering Fine-Grained Blends of Design Patterns
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    Chapter 33 Pattern-Based Transformation Rules for Developing Interaction Models of Access Control Systems
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    Chapter 34 Balancing Quantification and Obliviousness in the Design of Aspect-Oriented Frameworks
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    Chapter 35 Lightweight, Semi-automated Enactment of Pragmatic-Reuse Plans
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    Chapter 36 Constructing Flexible Application Servers with Off-the-Shelf Middleware Services Integration Framework
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    Chapter 37 SAM: Simple API for Object-Oriented Code Metrics
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    Chapter 38 Leveraging Source Code Search for Reuse
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    Chapter 39 An Experimental Evaluation of Documentation Methods and Reusability
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    Chapter 40 An Empirical Comparison of Methods for Reengineering Procedural Software Systems to Object-Oriented Systems
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    Chapter 41 Appendix: Workshop and Tutorial Abstracts
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Title
High Confidence Software Reuse in Large Systems
Published by
Springer Berlin Heidelberg, July 2008
DOI 10.1007/978-3-540-68073-4
ISBNs
978-3-54-068062-8, 978-3-54-068073-4
Editors

Mei, Hong

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
Germany 1 4%
Netherlands 1 4%
Sweden 1 4%
Iran, Islamic Republic of 1 4%
Unknown 19 79%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 46%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 8%
Professor 2 8%
Researcher 2 8%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 21 88%
Business, Management and Accounting 2 8%
Unknown 1 4%