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Requirements Engineering for Internet of Things

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Cover of 'Requirements Engineering for Internet of Things'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Services Requirements Analysis
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    Chapter 2 An Empirical Study of the Software Development Process, Including Its Requirements Engineering, at Very Large Organization: How to Use Data Mining in Such a Study
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    Chapter 3 Social Engineering Based Security Requirements Elicitation Model for Advanced Persistent Threats
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    Chapter 4 Eliciting Requirements for Improving Users’ Behavior Using Transparency
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    Chapter 5 Comparative Requirements Analysis for the Feasibility of Blockchain for Secure Cloud
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    Chapter 6 A Template for Writing Security Requirements
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    Chapter 7 A Security Requirements Library for the Development of Internet of Things (IoT) Applications
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    Chapter 8 Eliciting Activity Requirements from Crowd Using Genetic Algorithm
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    Chapter 9 Crowd Vigilante
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    Chapter 10 A Systematic Mapping Study of Empirical Research in GORE
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    Chapter 11 Challenges in Context-Aware Requirements Modeling: A Systematic Literature Review
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    Chapter 12 Issues of Using Function Point Analysis Method for Requirement Changes During Software Development Phase
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    Chapter 13 Understanding Uncertainty of Software Requirements Engineering: A Systematic Literature Review Protocol
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    Chapter 14 Constructing a Goal Model from Requirements Descriptions Based on Extraction Rules
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    Chapter 15 New Requirements Elicited from Accidents of Train Control System Simulated by Modelica
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Title
Requirements Engineering for Internet of Things
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-7796-8
ISBNs
978-9-81-107795-1, 978-9-81-107796-8
Editors

Massila Kamalrudin, Sabrina Ahmad, Naveed Ikram

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 23%
Student > Ph. D. Student 9 19%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Lecturer 3 6%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Computer Science 27 57%
Engineering 7 15%
Business, Management and Accounting 1 2%
Neuroscience 1 2%
Social Sciences 1 2%
Other 0 0%
Unknown 10 21%