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Software Technologies

Overview of attention for book
Cover of 'Software Technologies'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Assessing the User-Perceived Quality of Source Code Components Using Static Analysis Metrics
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    Chapter 2 A Technology for Optimizing the Process of Maintaining Software Up-to-Date
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    Chapter 3 From Specification to Implementation of an Automotive Transport System
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    Chapter 4 Towards a Goal-Oriented Framework for Partial Agile Adoption
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    Chapter 5 Using Semantic Web to Establish Traceability Links Between Heterogeneous Artifacts
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    Chapter 6 A Machine Learning Approach for Game Bot Detection Through Behavioural Features
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    Chapter 7 Genrih, a Runtime State Analysis System for Deciding the Applicability of Dynamic Software Updates
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    Chapter 8 Identifying Class Integration Test Order Using an Improved Genetic Algorithm-Based Approach
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    Chapter 9 Application of Fuzzy Logic to Assess the Quality of BPMN Models
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    Chapter 10 Solving Multiobjective Knapsack Problem Using Scalarizing Function Based Local Search
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    Chapter 11 Monitoring and Control of Vehicles’ Carbon Emissions
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    Chapter 12 WOF: Towards Behavior Analysis and Representation of Emotions in Adaptive Systems
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    Chapter 13 Classifying Big Data Analytic Approaches: A Generic Architecture
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    Chapter 14 Towards a Digital Business Operating System
Attention for Chapter 11: Monitoring and Control of Vehicles’ Carbon Emissions
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Readers on

mendeley
17 Mendeley
Summary
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Chapter title
Monitoring and Control of Vehicles’ Carbon Emissions
Chapter number 11
Book title
Software Technologies
Published by
Springer, Cham, July 2017
DOI 10.1007/978-3-319-93641-3_11
Book ISBNs
978-3-31-993640-6, 978-3-31-993641-3
Authors

Tsvetan Tsokov, Dessislava Petrova-Antonova

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Lecturer > Senior Lecturer 2 12%
Other 2 12%
Lecturer 2 12%
Unspecified 1 6%
Other 4 24%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 6 35%
Engineering 5 29%
Medicine and Dentistry 1 6%
Unspecified 1 6%
Unknown 4 24%

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