Computational Intelligence in Software Modeling

Book

Computational Intelligence in Software Modeling

Edited by: Vishal Jain , Jyotir Moy Chatterjee , Ankita Bansal , Utku Kose and Abha Jain

Language: English

Published/Copyright: 2022

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This book is in the series

Volume 13 | De Gruyter Frontiers in Computational Intelligence

About this book

Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.

Author / Editor information

V. Jain, BVICAM, India; A. Bansal, NSUT, India; A. Jain, Delhi U., India; J.M. Chatterjee, LBEF, Nepal; U.Kose, Süleyman U., Turkey.

Topics

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Frontmatter
I

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Preface
V

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Acknowledgment
VII

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Contents
IX

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Editors’ profile
XI

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Revolutionary transformations in twentieth century: making AI-assisted software development
1
Binayak Parashar, Inderjeet Kaur, Anupama Sharma, Pratima Singh and Deepti Mishra

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Useful techniques and applications of computational intelligence
19
Sujit Kumar, M. Balamurugan, Vikramaditya Dave and Bhivraj Suthar

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Machine learning-based attribute value search technique software component retrieval
33
Dimple Nagpal, S. N. Panda and Priyadarshini A. Pattanaik

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Use of fuzzy logic approach for software quality evaluation in Agile software development environment
55
Ashish Agrawal, Anju Khandelwal and Shruti Agarwal

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Metaheuristics for empirical software measurements
67
Somya Goyal

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Use of genetic algorithms in software testing models
81
Srilakshmi Venugopal, Tarun Praveen Purohit, Ajay Sudhir Bale and Suhaas Veera Raghavan Reddy

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Insights into DevOps automation tools employed at different stages of software development
93
Poonam Narang, Pooja Mittal, Preeti Gulia and Balkrishan

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Study of computational techniques to deal with ambiguity in SRS documents
107
Mohd Shahid Husain

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Utilization of images in an open source software to detect COVID-19
121
Ankita Bansal and Abha Jain

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Designing of a tool for comparing and analyzing different test suites of open source software
143
Abha Jain and Ankita Bansal

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Decision tree–based improved software fault prediction: a computational intelligence approach
163
Palak and Preeti Gulia

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Performance analysis for SDN POX and open daylight controller using network emulator Mininet under DDoS attack
177
Sameer Ali, Muhammad Reazul Haque, Kashif Nisar, Ramani Kannan, Tanveer Ahmed Khan, Khalil-Ur-Rehman Shaikh and Basit Ali

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Index
199

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

February 21, 2022

eBook ISBN:

9783110709247

Hardcover published on:

March 7, 2022

Hardcover ISBN:

9783110705430

Pages and Images/Illustrations in book

Front matter:

12

Main content:

204

Illustrations:

94

Tables:

18

https://doi.org/10.1515/9783110709247

eBook ISBN: 9783110709247

Hardcover ISBN: 9783110705430

Keywords for this book

Algorithmus; Softwareentwicklung; Künstliche Intelligenz; Maschinelles Lernen

Audience(s) for this book

Researchers, Graduate students of Computer Sciences, Software Engineers.

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Computational Intelligence in Software Modeling

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

Preface

Acknowledgment

Contents

Editors’ profile

Revolutionary transformations in twentieth century: making AI-assisted software development

Useful techniques and applications of computational intelligence

Machine learning-based attribute value search technique software component retrieval

Use of fuzzy logic approach for software quality evaluation in Agile software development environment

Metaheuristics for empirical software measurements

Use of genetic algorithms in software testing models

Insights into DevOps automation tools employed at different stages of software development

Study of computational techniques to deal with ambiguity in SRS documents

Utilization of images in an open source software to detect COVID-19

Designing of a tool for comparing and analyzing different test suites of open source software

Decision tree–based improved software fault prediction: a computational intelligence approach

Performance analysis for SDN POX and open daylight controller using network emulator Mininet under DDoS attack

Index

Bibliographic data