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Requirements Engineering for Service and Cloud Computing

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Cover of 'Requirements Engineering for Service and Cloud Computing'

Table of Contents

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    Book Overview
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    Chapter 1 What We Say We Want and What We Really Need: Experiences on the Barriers to Communicate Information System Needs
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    Chapter 2 Cloud Dimensions for Requirements Specification
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    Chapter 3 Analyzing Requirements Engineering for Cloud Computing
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    Chapter 4 Classification of Non-functional Requirements of Web Services from Multiperspective View
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    Chapter 5 The Requirements Elicitation Approaches for Software-Defined Cloud Environments
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    Chapter 6 Formal Modeling of Enterprise Cloud Bus System: A High Level Petri-Net Based Approach
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    Chapter 7 Requirements to Services: A Model to Automate Service Discovery and Dynamic Choreography from Service Version Database
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    Chapter 8 Architecturally Significant Requirements Identification, Classification and Change Management for Multi-tenant Cloud-Based Systems
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    Chapter 9 Cyber Security Requirements Engineering
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    Chapter 10 Appraisal and Analysis of Various Self-Adaptive Web Service Composition Approaches
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    Chapter 11 Transition from Information Systems to Service-Oriented Logical Architectures: Formalizing Steps and Rules with QVT
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    Chapter 12 Improving the QoS of a Composite Web Service by Pruning its Weak Partners
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    Chapter 13 Using Distributed Agile Patterns for Supporting the Requirements Engineering Process
Attention for Chapter 7: Requirements to Services: A Model to Automate Service Discovery and Dynamic Choreography from Service Version Database
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Citations

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Chapter title
Requirements to Services: A Model to Automate Service Discovery and Dynamic Choreography from Service Version Database
Chapter number 7
Book title
Requirements Engineering for Service and Cloud Computing
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-51310-2_7
Book ISBNs
978-3-31-951309-6, 978-3-31-951310-2
Authors

Swapan Bhattacharya, Ananya Kanjilal, Sabnam Sengupta, Jayeeta Chanda, Dipankar Majumdar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Ph. D. Student 1 20%
Lecturer > Senior Lecturer 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Computer Science 5 100%