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Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

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  • More about Computational Intelligence Techniques and Their Applications to Software Engineering Problems


This book discusses computational intelligence techniques and their applications to software engineering problems, including expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets. It also explores knowledge discovery using neural networks and data mining techniques. Aimed at graduate students and researchers in computer science engineering, software engineering, and information technology, the book provides in-depth solutions to software engineering problems.

Format: Hardback
Length: 251 pages
Publication date: 28 September 2020
Publisher: Taylor & Francis Ltd


Computational Intelligence Techniques and Their Applications to Software Engineering Problems is a comprehensive guide that delves into the realm of computational intelligence approaches and their practical applications in diverse areas of software engineering. This book serves as a valuable resource for graduate students and researchers in computer science engineering, software engineering, information technology, and related fields.

The book focuses on computational intelligence techniques and their practical applications in software engineering. It explores a wide range of topics, including software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced, along with their practical applications in software engineering.

Furthermore, the book explores the field of knowledge discovery using neural networks and data mining techniques. It aims to determine the underlying and hidden patterns in software data sets, facilitating the identification of valuable insights and knowledge. By leveraging these techniques, software engineers can enhance the efficiency, effectiveness, and reliability of their software development processes.

The book is organized into chapters, each covering a specific aspect of computational intelligence techniques and their applications in software engineering. The chapters are designed to provide in-depth solutions to software engineering problems, with a focus on providing practical insights and methodologies. The book also includes case studies and examples to illustrate the practical applications of the discussed techniques, making it easier for readers to understand and apply the concepts in their own work.

Overall, Computational Intelligence Techniques and Their Applications to Software Engineering Problems is a comprehensive and authoritative guide that offers valuable insights and techniques for solving software engineering problems using computational intelligence approaches. It is an essential resource for graduate students, researchers, and practitioners in the field of software engineering, providing them with the knowledge and tools necessary to advance their understanding and expertise in this rapidly evolving domain.

Weight: 548g
Dimension: 162 x 240 x 22 (mm)
ISBN-13: 9780367529741

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