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Computational intelligence techniques and their applications to software engineering problems / edited by Ankita Bansal, Abha Jain, Sarika Jain, Vishal Jain and Ankur Choudhary.

Contributor(s): Material type: TextTextPublisher: Boca Raton : CRC Press, 2021Edition: First editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003079996
  • 1003079997
  • 9781000191936
  • 1000191931
  • 9781000191943
  • 100019194X
  • 9781000191929
  • 1000191923
Subject(s): DDC classification:
  • 006.3 23
LOC classification:
  • QA76.758
Online resources:
Partial contents:
Implementation of artifical intelligence techniques for improving software engineering / Sushma Malik, Monika Arora, Anamilka Rana and Mamta Bansal -- Software effort estimation : machine learning vs. hybrid algorithms / Wasiur Rhmann.
Summary: "This book 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 so forth. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, rough sets are introduced with their application in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by discovering the underlying and hidden patterns in software data sets"-- Provided by publisher.
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Implementation of artifical intelligence techniques for improving software engineering / Sushma Malik, Monika Arora, Anamilka Rana and Mamta Bansal -- Software effort estimation : machine learning vs. hybrid algorithms / Wasiur Rhmann.

"This book 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 so forth. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, rough sets are introduced with their application in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by discovering the underlying and hidden patterns in software data sets"-- Provided by publisher.

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