Computational Intelligence Techniques and Their Applications to Software Engineering Problems


Computational Intelligence Techniques and Their Applications to Software Engineering Problems
By 作者:Ankita Bansal (Editor), Abha Jain (Editor), Sarika Jain (Editor), Vishal Jain (Editor), Ankur Choudhary (Editor)
Hardcover : 265 pages
ISBN-10 : 0367529742
ISBN-13 : 9780367529741
Publisher Finelybook 出版社 : CRC Press (28 Sept. 2020)
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as 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 with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques By 作者:determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book:

Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques
Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain
Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions
Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more
Highlights swarm intelligence-based optimization solutions for software testing and reliability problems


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