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Machine learning applications in software engineering / editors, Du Zhang, Jeffrey J.P. Tsai.
- Format:
- Book
- Series:
- Series on software engineering and knowledge engineering ; v. 16.
- Series on software engineering and knowledge engineering ; v. 16
- Language:
- English
- Subjects (All):
- Software engineering.
- Computer software--Quality control.
- Computer software.
- Computer software--Evaluation.
- Machine learning.
- Physical Description:
- 1 online resource (367 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Hackensack, N.J. ; Hong Kong : World Scientific, c2005.
- Language Note:
- English
- 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.
- 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
- Notes:
- Description based upon print version of record.
- Includes bibliographical references (p. 345-355) and index.
- ISBN:
- 9786611372552
- 9781281372550
- 1281372552
- 9789812569271
- 9812569278
- OCLC:
- 475976022
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