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Machine learning applications in software engineering /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Zhang, Du, Tsai, Jeffrey J. P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, N.J. : World Scientific, ©2005.
Colección:Series on software engineering and knowledge engineering ; v. 16.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Machine learning applications in software engineering /  |c Du Zhang [and] Jeffrey J.P. Tsai. 
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490 1 |a Series on software engineering and knowledge engineering ;  |v v. 16 
504 |a Includes bibliographical references (pages 345-355) and index. 
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505 0 |a 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. 
520 |a 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. 
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