Back to Search

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

AUTHOR Chis, Monica; Chis, Monica
PUBLISHER Information Science Reference (06/30/2010)
PRODUCT TYPE Hardcover (Hardcover)

Description
Evolutionary computation brings new tools for software engineering by informing the systematic, disciplined, quantifiable processes of developing, operating, and maintaining software. Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.
Show More
Product Format
Product Details
ISBN-13: 9781615208098
ISBN-10: 1615208097
Binding: Hardback or Cased Book (Unsewn / Adhesive Bound)
Content Language: English
More Product Details
Page Count: 284
Carton Quantity: 12
Product Dimensions: 8.60 x 0.90 x 11.20 inches
Weight: 2.45 pound(s)
Feature Codes: Bibliography, Index, Table of Contents, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Programming - Algorithms
Computers | Data Science - Data Analytics
Computers | Human-Computer Interaction (HCI)
Dewey Decimal: 005.1
Library of Congress Control Number: 2009047892
Descriptions, Reviews, Etc.
publisher marketing
Evolutionary computation brings new tools for software engineering by informing the systematic, disciplined, quantifiable processes of developing, operating, and maintaining software. Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.
Show More
List Price $180.00
Your Price  $178.20
Hardcover