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Computational Intelligence Techniques And Their Applications To Software Engineering Problems Bansal

  • SKU: BELL-22059260
Computational Intelligence Techniques And Their Applications To Software Engineering Problems Bansal
$ 31.00 $ 45.00 (-31%)

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Computational Intelligence Techniques And Their Applications To Software Engineering Problems Bansal instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 7.69 MB
Pages: 265
Author: Bansal, Ankita(Editor);Jain, Abha(Editor);Jain, Sarika(Editor);Jain, Vishal(Editor)
ISBN: 9780367529741, 9781003079996, 0367529742, 1003079997
Language: English
Year: 2020

Product desciption

Computational Intelligence Techniques And Their Applications To Software Engineering Problems Bansal by Bansal, Ankita(editor);jain, Abha(editor);jain, Sarika(editor);jain, Vishal(editor) 9780367529741, 9781003079996, 0367529742, 1003079997 instant download after payment.

Computational Intelligence Techniques and Their Applications to Software Engineering Problemsfocuses 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 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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