Computational Intelligence Applications for Software Engineering Problems

10,782.00₹ 14,135.00₹

  • ISBN: 9781774910467
  • Availability: In Stock

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ABOUT THE BOOK

This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering.
Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more.

TABLE OF CONTENTS

1. A Statistical Experimentation Approach for Software Quality Management and Defect Evaluations
Alankrita Aggarwal, Kanwalvir Singh Dhindsa, and P. K. Suri

2. Open Challenges in Software Measurements Using Machine Learning Techniques
Somya Goyal

3. Empirical Software Engineering and Its Challenges
Sujit Kumar, Spandana Gowda, and Vikramaditya Dave

4. Uncertain Multiobjective COTS Product Selection Problems for Modular Software System and Their Solutions by Genetic Algorithm
Anita R. Tailor and Jayesh M. Dhodiya

5. Fuzzy Logic Based Computational Technique for Analyzing Software Bug Repository
Rama Ranjan Panda and Naresh Kumar Nagwani

6. Software Measurements from Machine Learning to Deep Learning
Somya Goyal

7. Time Series Forecasting Using ARIMA Models: Systematic Literature Review of 2000s
Vidhi Vig

8. Industry Maintenance Optimization Using AI
V. Sesha Srinivas, R. S. M. Lakshmi Patibandla, V. Lakshman Narayana, et al.

9. Comparative Study of Invasive Weed Optimization Algorithms
Shweta Shrivastava, D. K. Mishra, and Vikas Shinde

10. An Overview of Computational Tools
Navneet Kaur, Shalini Sahay, and Shruti K. Dixit

11. Enhanced Intelligence Architecture
Ambika N.

12. Systematic Literature Review of Search-Based Software Engineering Techniques for Code Modularization/Remodularization
Divya Sharma and Ganga Sharma

13. Automation of Framework Using DevOps Model to Deliver DDE Software
Ishwarappa Kalbandi and Mohana



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