
Machine Learning Applications In Software Engineering
World Scientific Publishing Co Pte Ltd
Published on 22. February 2005
Book
Hardback
368 pages
978-981-256-094-0 (ISBN)
Description
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 284 mm
Width: 216 mm
Thickness: 25 mm
Weight
1114 gr
ISBN-13
978-981-256-094-0 (9789812560940)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Editor
California State Univ, Usa
Asia Univ, Taiwan & Univ Of Illinois At Chicago, Usa
Content
Introduction to Machine Learning and Software Engineering; ML Applications in Prediction and Estimation; ML Applications in Property and Model Discovery; ML Applications in Transformation; ML Applications in Generation and Synthesis; ML Applications in Reuse; ML Applications in Requirement Acquisition; ML Applications in Management of Development Knowledge