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BestsellerE-book

Title Machine learning applications in software engineering / Du Zhang [and] Jeffrey J.P. Tsai.

Publication Info. Hackensack, N.J. : World Scientific, [2005]
©2005

Item Status

Description 1 online resource (x, 355 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Series on software engineering and knowledge engineering ; v. 16
Series on software engineering and knowledge engineering ; v. 16.
Bibliography Includes bibliographical references (pages 345-355) and index.
Contents ACKNOWLEDGMENT; TABLE OF CONTENTS; Chapter 1 Introduction to Machine Learning and Software Engineering; Chapter 2 ML Applications in Prediction and Estimation; Chapter 3 ML Applications in Property and Model Discovery; Chapter 4 ML Applications in Transformation; Chapter 5 ML Applications in Generation and Synthesis; Chapter 6 ML Applications in Reuse; Chapter 7 ML Applications in Requirement Acquisition; Chapter 8 ML Applications in Management of Development Knowledge; Chapter 9 Guidelines and Conclusion; References.
Summary Machine learning deals with the issue of how to build computerprograms that improve their performance at some tasks throughexperience. Machine learning algorithms have proven to be of greatpractical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile groundwhere many software development and maintenance tasks could beformulated as learning problems and approached in terms of learningalgorithms.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Software engineering.
Software engineering.
Computer software -- Quality control.
Computer software -- Quality control.
Computer software -- Evaluation.
Computer software -- Evaluation.
Machine learning.
Machine learning.
Genre/Form Electronic books.
Added Author Zhang, Du.
Tsai, Jeffrey J.-P.
Other Form: Print version: Machine learning applications in software engineering. Hackensack, N.J. : World Scientific, ©2005 9812560947 (OCoLC)60338320
ISBN 9812569278 (electronic book)
9789812569271 (electronic book)
9789812560940
9812560947