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...
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , |
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 |
Tabla de Contenidos:
- 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.