Computational Intelligence Applications for Software Engineering Problems

This book presents innovative computational intelligence techniques to enhance various software engineering tasks, showcasing practical applications and case studies throughout.

This volume delves into the realm of computational intelligence techniques that are pivotal for executing various software engineering tasks. It covers a broad spectrum of methodologies and case studies aimed at addressing engineering challenges through advanced approaches such as machine learning, deep learning, fuzzy-logic-based computation, and statistical modeling. The book also introduces innovative algorithms, including invasive weed meta-heuristic algorithms, to enhance problem-solving capabilities in software engineering.

In software development, multiple stages precede deployment, including requirements elicitation, design, project planning, coding, and testing. Each of these stages is accompanied by numerous tasks that can be intricate and costly. This book aims to alleviate these challenges by showcasing new research and practical applications of intelligent techniques in software engineering. It emphasizes the importance of computational intelligence in streamlining processes and improving efficiency.

Computational Intelligence Applications for Software Engineering Problems not only presents theoretical concepts but also provides real-world case studies that illustrate the effectiveness of these techniques. By exploring the intersection of artificial intelligence and software engineering, this volume serves as a valuable resource for professionals and researchers looking to implement innovative solutions in their projects.