Computational Intelligence Applications for Software Engineering Problems

✍ Scribed by Parma Nand, Nitin Rakesh, Arun Prakash Agrawal, Vishal Jain

• Publisher: CRC Press/Apple Academic Press
• Year: 2023
• Tongue: English
• Leaves: 325
• Category: Library

✦ Synopsis

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

Cover
Half Title
Title Page
Copyright Page
About the Editors
Table of Contents
Contributors
Abbreviations
Preface
Chapter 1: A Statistical Experimentation Approach for Software Quality Management and Defect Evaluations
Chapter 2: Open Challenges in Software Measurements Using Machine Learning Techniques
Chapter 3: Empirical Software Engineering and Its Challenges
Chapter 4: Uncertain Multiobjective COTS Product Selection Problems for Modular Software System and Their Solutions by Genetic Algorithm
Chapter 5: Fuzzy Logic Based Computational Technique for Analyzing Software Bug Repository
Chapter 6: Software Measurements from Machine Learning to Deep Learning
Chapter 7: Time Series Forecasting Using ARIMA Models: A Systematic Literature Review of 2000s
Chapter 8: Industry Maintenance Optimization Using AI
Chapter 9: Comparative Study of Invasive Weed Optimization Algorithms
Chapter 10: An Overview of Computational Tools
Chapter 11: Enhanced Intelligence Architecture
Chapter 12: Systematic Literature Review of Search-Based Software Engineering Techniques for Code Modularization/Remodularization
Chapter 13: Automation of Framework Using DevOps Model to Deliver DDE Software
Index