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A Journey Towards Bio-inspired Techniques in Software Engineering

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  • © 2020

Overview

Editors:
  1. Jagannath Singh

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  2. Saurabh Bilgaiyan

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  3. Bhabani Shankar Prasad Mishra

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  4. Satchidananda Dehuri

    1. Department of Information and Communication Technology, Fakir Mohan University, Balasore, India

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  • Provides a guide to current trends in software engineering research
  • Discusses basic and advanced topics in the field of software engineering
  • Presents an overview of bio-inspired techniques in software engineering

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 185)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. SMDICFBA: Software Model for Distributed Incremental Closeness Factor Based Algorithms

    • Rahul Raghvendra Joshi, Preeti Mulay, Archana Chaudhari
    Pages 1-28

  3. A Novel Method for Fault Tolerance Intelligence Advisor System (FT-IAS) for Mission Critical Operations

    • M. Balaji, C. Mala, M. S. Siva
    Pages 29-46

  4. Type-2 Fuzzy Controller (T2FC) Based Motion Planning of Differential-Drive Pioneer P3-DX Wheeled Robot in V-REP Software Platform

    • Anish Pandey, Nilotpala Bej, Ramanuj Kumar, Amlana Panda, Dayal R. Parhi
    Pages 47-57

  5. An Object-Oriented Software Complexity Metric for Cohesion

    • A. Joy Christy, A. Umamakeswari
    Pages 59-70

  6. Engineering Full Stack IoT Systems with Distributed Processing Architecture—Software Engineering Challenges, Architectures and Tools

    • S. Thiruchadai Pandeeswari, S. Padmavathi, N. Hemamalini
    Pages 71-87

  7. Chaos-Based Modified Morphological Genetic Algorithm for Effort Estimation in Agile Software Development

    • Saurabh Bilgaiyan, Prabin Kumar Panigrahi, Samaresh Mishra
    Pages 89-102

  8. PerbDroid: Effective Malware Detection Model Developed Using Machine Learning Classification Techniques

    • Arvind Mahindru, A. L. Sangal
    Pages 103-139

  9. A Study on Application of Soft Computing Techniques for Software Effort Estimation

    • Sripada Rama Sree, Chatla Prasada Rao
    Pages 141-165

  10. White Box Testing Using Genetic Algorithm—An Extensive Study

    • Deepti Bala Mishra, Arup Abhinna Acharya, Srikumar Acharya
    Pages 167-187

  11. Detection of Web Service Anti-patterns Using Machine Learning Framework

    • Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy
    Pages 189-210
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Keywords

About this book

This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering — particularly in the area of bio-inspired techniques.


Editors and Affiliations

  • School of Computer Engineering, KIIT University, Bhubaneswar, India

    Jagannath Singh, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra

  • Department of Information and Communication Technology, Fakir Mohan University, Balasore, India

    Satchidananda Dehuri

Bibliographic Information

  • Book Title: A Journey Towards Bio-inspired Techniques in Software Engineering

  • Editors: Jagannath Singh, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-030-40928-9

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-40927-2Published: 12 March 2020

  • Softcover ISBN: 978-3-030-40930-2Published: 12 March 2021

  • eBook ISBN: 978-3-030-40928-9Published: 11 March 2020

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: VIII, 210

  • Number of Illustrations: 17 b/w illustrations, 81 illustrations in colour

  • Topics: Computational Intelligence, Software Engineering

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