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Handbook on Artificial Intelligence-Empowered Applied Software Engineering

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Cover of 'Handbook on Artificial Intelligence-Empowered Applied Software Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Handbook on Artificial Intelligence-Empowered Applied Software Engineering—VOL.1: Novel Methodologies to Engineering Smart Software Systems
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    Chapter 2 Synergies Between Artificial Intelligence and Software Engineering: Evolution and Trends
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    Chapter 3 Towards Software Co-Engineering by AI and Developers
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    Chapter 4 Generalizing Software Defect Estimation Using Size and Two Interaction Variables
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    Chapter 5 Building of an Application Reviews Classifier by BERT and Its Evaluation
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    Chapter 6 Harmony Search-Enhanced Software Architecture Reconstruction
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    Chapter 7 Enterprise Architecture-Based Project Model for AI Service System Development
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    Chapter 8 Requirements Engineering Processes for Multi-agent Systems
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    Chapter 9 Specific UML-Derived Languages for Modeling Multi-agent Systems
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    Chapter 10 Methods for Ensuring the Overall Safety of Machine Learning Systems
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    Chapter 11 MEAU: A Method for the Evaluation of the Artificial Unintelligence
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    Chapter 12 Quantum Computing Meets Artificial Intelligence: Innovations and Challenges
Attention for Chapter 11: MEAU: A Method for the Evaluation of the Artificial Unintelligence
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mendeley
4 Mendeley
Summary
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Chapter title
MEAU: A Method for the Evaluation of the Artificial Unintelligence
Chapter number 11
Book title
Handbook on Artificial Intelligence-Empowered Applied Software Engineering
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-08202-3_11
Book ISBNs
978-3-03-108201-6, 978-3-03-108202-3
Authors

Cipolla Ficarra, Francisco V.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Unknown 2 50%
Readers by discipline Count As %
Business, Management and Accounting 1 25%
Computer Science 1 25%
Unknown 2 50%

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