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Advances in Machine Learning Applications in Software Engineering
Contributor(s): Zhang, Du (Author), Tsai, Jeffrey J. P. (Author)
ISBN: 1591409411     ISBN-13: 9781591409410
Publisher: Idea Group Publishing
OUR PRICE:   $90.20  
Product Type: Hardcover - Other Formats
Published: October 2006
Qty:
Annotation: Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and complex software systems in a dynamic and changing environment, machine learning methods have been playing an increasingly important role in many software development and maintenance tasks. Advances in Machine Learning Applications in Software Engineering provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. This book depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers suggestions by proposing future work and areas in this emerging research field.
Additional Information
BISAC Categories:
- Computers | Software Development & Engineering - General
Dewey: 005.1
LCCN: 2006031366
Physical Information: 1.26" H x 7.11" W x 10.23" (2.25 lbs) 500 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and complex software systems in a dynamic and changing environment, machine learning methods have been playing an increasingly important role in many software development and maintenance tasks. Advances in Machine Learning Applications in Software Engineering provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for future work in this emerging research field.